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Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
Jie Yang · Ailing Zeng · Shilong Liu · Feng Li · Ruimao Zhang · Lei Zhang
[ OpenReview
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CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
Runjian Chen · Yao Mu · Runsen Xu · Wenqi Shao · Chenhan Jiang · Hang Xu · Yu Qiao · Zhenguo Li · Ping Luo
[ OpenReview
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On the complexity of nonsmooth automatic differentiation
Jerome Bolte · Ryan Boustany · Edouard Pauwels · Béatrice Pesquet-Popescu
[ Poster [ OpenReview
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Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
Qingchun Hou · Jingwei Yang · Yiqiang Su · Xiaoqing Wang · Yuming Deng
[ Poster [ OpenReview
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StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
Haoxuan Li · Chunyuan Zheng · Peng Wu
[ OpenReview
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Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
Peizhong Ju · Yingbin Liang · Ness Shroff
[ OpenReview
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Differentiable Mathematical Programming for Object-Centric Representation Learning
Adeel Pervez · Phillip Lippe · Efstratios Gavves
[ OpenReview
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MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang · Hanlin Goh · Jiatao Gu · Joshua Susskind
[ Slides [ Poster [ OpenReview
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Scalable Subset Sampling with Neural Conditional Poisson Networks
Adeel Pervez · Phillip Lippe · Efstratios Gavves
[ OpenReview
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Improving Differentiable Neural Architecture Search by Encouraging Transferability
Parth Sheth · Pengtao Xie
[ Poster [ OpenReview
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Hyper-Decision Transformer for Efficient Online Policy Adaptation
Mengdi Xu · Yuchen Lu · Yikang Shen · Shun Zhang · DING ZHAO · Chuang Gan
[ Poster [ OpenReview
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Policy-Based Self-Competition for Planning Problems
Jonathan Pirnay · Quirin Göttl · Jakob Burger · Dominik Grimm
[ Poster [ OpenReview
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Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang · Qiang Fu · Xu Chen · Lun Du · Zelin Li · Gang Wang · Xiaoguang Liu · Shi Han · Dongmei Zhang
[ Poster [ OpenReview
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Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
Fuxiang Zhang · Chengxing Jia · Yi-Chen Li · Lei Yuan · Yang Yu · Zongzhang Zhang
[ Slides [ Poster [ OpenReview
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Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer · Ankit Singh Rawat · Seungyeon Kim · Chong You · Himanshu Jain · Andreas Veit · Rob Fergus · Sanjiv Kumar
[ Poster [ OpenReview
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HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
Tianlong Chen · Chengyue Gong · Daniel Diaz · Xuxi Chen · Jordan Wells · Qiang Liu · Zhangyang Wang · Andrew Ellington · Alexandros Dimakis · Adam Klivans
[ OpenReview
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Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
Cuiyu Liu · Xiao Chuanfu · Mingshuo Ding · Chao Yang
[ Poster [ OpenReview
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Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu · Jason Wei · Shixiang Gu · Te-Yen Wu · Soroush Vosoughi · Claire Cui · Denny Zhou · Andrew Dai
[ OpenReview
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Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao · Jianhao Ding · Tong Bu · Tiejun Huang · Zhaofei Yu
[ Slides [ Poster [ OpenReview
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Visually-Augmented Language Modeling
Weizhi Wang · Li Dong · Hao Cheng · Haoyu Song · Xiaodong Liu · Xifeng Yan · Jianfeng Gao · Furu Wei
[ Poster [ OpenReview
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A theoretical study of inductive biases in contrastive learning
Jeff Z. HaoChen · Tengyu Ma
[ Poster [ OpenReview
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Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
Brian Chmiel · Itay Hubara · Ron Banner · Daniel Soudry
[ Poster [ OpenReview
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Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong · Xili Dai · Ziyang Wu · Mingyang Li · Brent Yi · Yi Ma
[ OpenReview
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Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
Beren Millidge · Yuhang Song · Tommaso Salvatori · Thomas Lukasiewicz · Rafal Bogacz
[ OpenReview
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Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Xiaoman Pan · Wenlin Yao · Hongming Zhang · Dian Yu · Dong Yu · Jianshu Chen
[ OpenReview
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Spacetime Representation Learning
Marc T Law · James Lucas
[ OpenReview
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Benchmarking Constraint Inference in Inverse Reinforcement Learning
Guiliang Liu · Yudong Luo · Ashish Gaurav · Kasra Rezaee · Pascal Poupart
[ OpenReview
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Efficient Attention via Control Variates
Lin Zheng · Jianbo Yuan · Chong Wang · Lingpeng Kong
[ OpenReview
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ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm
[ Poster [ OpenReview
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Towards Inferential Reproducibility of Machine Learning Research
Michael Hagmann · Philipp Meier · Stefan Riezler
[ Slides [ Poster [ OpenReview
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Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Lingxiao Wang · Qi Cai · Zhuoran Yang · Zhaoran Wang
[ OpenReview
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DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He · Jianfeng Gao · Weizhu Chen
[ Poster [ OpenReview
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Squeeze Training for Adversarial Robustness
Qizhang Li · Yiwen Guo · Wangmeng Zuo · Hao Chen
[ OpenReview
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Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
Kefan Dong · Tengyu Ma
[ Poster [ OpenReview
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On Pre-training Language Model for Antibody
Danqing Wang · Fei YE · Hao Zhou
[ Poster [ OpenReview
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Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
[ Poster [ OpenReview
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Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen · Jianyu Wang · Kshitiz Malik · Maziar Sanjabi · Michael Rabbat
[ Slides [ OpenReview
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Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong · Jiangchao Yao · Zhihan Zhou · Ya Zhang · Yanfeng Wang
[ Slides [ Poster [ OpenReview
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Task Ambiguity in Humans and Language Models
Alex Tamkin · Kunal Handa · Avash Shrestha · Noah Goodman
[ Slides [ OpenReview
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Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Guangyuan SHI · Qimai Li · Wenlong Zhang · Jiaxin Chen · Xiao-Ming Wu
[ Slides [ Poster [ OpenReview
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More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
Jiangxing Wang · Deheng Ye · Zongqing Lu
[ Poster [ OpenReview
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Revisiting adapters with adversarial training
Sylvestre-Alvise Rebuffi · francesco croce · Sven Gowal
[ Poster [ OpenReview
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Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
Bowen Jin · Yu Zhang · Yu Meng · Jiawei Han
[ Poster [ OpenReview
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Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang · Xixi Jia · Quanziang Wang · Yichen Wu · Deyu Meng
[ OpenReview
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On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
Zi Lin · Du Phan · Panupong Pasupat · Jeremiah Zhe Liu · Jingbo Shang
[ OpenReview
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Free Lunch for Domain Adversarial Training: Environment Label Smoothing
YiFan Zhang · xue wang · Jian Liang · Zhang Zhang · Liang Wang · Rong Jin · Tieniu Tan
[ Poster [ OpenReview
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Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin · David Wu · Adam Lerer · Jonathan Gray · Athul Jacob · Gabriele Farina · Alexander Miller · Noam Brown
[ Poster [ OpenReview
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Brain-like representational straightening of natural movies in robust feedforward neural networks
Tahereh Toosi · Elias Issa
[ OpenReview
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Federated Learning from Small Datasets
Michael Kamp · Jonas Fischer · Jilles Vreeken
[ Poster [ OpenReview
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Multi-level Protein Structure Pre-training via Prompt Learning
Zeyuan Wang · Qiang Zhang · Shuang-Wei HU · Haoran Yu · Xurui Jin · Zhichen Gong · Huajun Chen
[ OpenReview
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PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Toygun Basaklar · Suat Gumussoy · Umit Ogras
[ Poster [ OpenReview
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Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
Chunwei Ma · Zhanghexuan Ji · Ziyun Huang · Yan Shen · Mingchen Gao · Jinhui Xu
[ Poster [ OpenReview
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M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Junjie Yang · Xuxi Chen · Tianlong Chen · Zhangyang Wang · Yingbin Liang
[ Poster [ OpenReview
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Re-calibrating Feature Attributions for Model Interpretation
Peiyu Yang · NAVEED AKHTAR · Zeyi Wen · Mubarak Shah · Ajmal Mian
[ Poster [ OpenReview
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Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
Ryuichi Kanoh · Mahito Sugiyama
[ Poster [ OpenReview
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EVA3D: Compositional 3D Human Generation from 2D Image Collections
Fangzhou Hong · Zhaoxi Chen · Yushi LAN · Liang Pan · Ziwei Liu
[ Poster [ OpenReview
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Characterizing the Influence of Graph Elements
Zizhang chen · Peizhao Li · Hongfu Liu · Pengyu Hong
[ OpenReview
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On Accelerated Perceptrons and Beyond
Guanghui Wang · Rafael Hanashiro · Etash Guha · Jacob Abernethy
[ OpenReview
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Simple and Scalable Nearest Neighbor Machine Translation
Yuhan Dai · Zhirui Zhang · Qiuzhi Liu · Qu Cui · WeiHua Li · Yichao Du · Tong Xu
[ Poster [ OpenReview
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Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui · Da Yan · Xiaolong Ma · Wei-Shinn Ku
[ Poster [ OpenReview
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A Differential Geometric View and Explainability of GNN on Evolving Graphs
Yazheng Liu · Xi Zhang · Sihong Xie
[ Poster [ OpenReview
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TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou · Jinghan Jia · Yihua Zhang · Guanhua Zhang · Yang Zhang · Sijia Liu · Shiyu Chang
[ OpenReview
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Provably Auditing Ordinary Least Squares in Low Dimensions
Ankur Moitra · Dhruv Rohatgi
[ OpenReview
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Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
Fangzheng Sun · Yang Liu · Jian-Xun Wang · Hao Sun
[ OpenReview
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Transfer NAS with Meta-learned Bayesian Surrogates
Gresa Shala · Thomas Elsken · Frank Hutter · Josif Grabocka
[ OpenReview
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Hierarchical Sliced Wasserstein Distance
Khai Nguyen · Tongzheng Ren · Huy Nguyen · Litu Rout · TAN NGUYEN · Nhat Ho
[ Poster [ OpenReview
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Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan · Ankit Singh Rawat · Aditya Krishna Menon · Seungyeon Kim · Sanjiv Kumar
[ OpenReview
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LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
Xianbiao Qi · Jianan Wang · Yihao Chen · Yukai Shi · Lei Zhang
[ OpenReview
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Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang · Aston Zhang · Mu Li · Alex Smola
[ Poster [ OpenReview
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Near-Optimal Adversarial Reinforcement Learning with Switching Costs
Ming Shi · Yingbin Liang · Ness Shroff
[ Poster [ OpenReview
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Federated Nearest Neighbor Machine Translation
Yichao Du · Zhirui Zhang · Bingzhe Wu · lemao liu · Tong Xu · Enhong Chen
[ Poster [ OpenReview
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Language Models are Realistic Tabular Data Generators
Vadim Borisov · Kathrin Seßler · Tobias Leemann · Martin Pawelczyk · Gjergji Kasneci
[ Poster [ OpenReview
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Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han · Qizheng He · Charles Yu · Xinya Du · Hanghang Tong · Heng Ji
[ Poster [ OpenReview
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Spiking Convolutional Neural Networks for Text Classification
Changze Lv · Jianhan Xu · Xiaoqing Zheng
[ Poster [ OpenReview
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Words are all you need? Language as an approximation for human similarity judgments
Raja Marjieh · Pol van Rijn · Ilia Sucholutsky · Theodore Sumers · Harin Lee · Thomas L. Griffiths · Nori Jacoby
[ OpenReview
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Neural DAG Scheduling via One-Shot Priority Sampling
Wonseok Jeon · Mukul Gagrani · Burak Bartan · Weiliang Zeng · Harris Teague · Piero Zappi · Christopher Lott
[ OpenReview
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Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan · Nian Si · Kun Zhang
[ Poster [ OpenReview
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Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
[ Poster [ OpenReview
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Post-hoc Concept Bottleneck Models
Mert Yuksekgonul · Maggie Wang · James Y Zou
[ OpenReview
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Schema Inference for Interpretable Image Classification
Haofei Zhang · Mengqi Xue · Xiaokang Liu · Kaixuan Chen · Jie Song · Mingli Song
[ Slides [ Poster [ OpenReview
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Sequential Attention for Feature Selection
Taisuke Yasuda · MohammadHossein Bateni · Lin Chen · Matthew Fahrbach · Gang Fu · Vahab Mirrokni
[ OpenReview
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Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan Cheng · Ruiquan Huang · Yingbin Liang · Jing Yang
[ Poster [ OpenReview
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Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen · Hexiang Hu · Chitwan Saharia · William Cohen
[ Poster [ OpenReview
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Towards Robustness Certification Against Universal Perturbations
Yi Zeng · Zhouxing Shi · Ming Jin · Feiyang Kang · Lingjuan Lyu · Cho-Jui Hsieh · Ruoxi Jia
[ OpenReview
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Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
Aran Komatsuzaki · Joan Puigcerver · James Lee-Thorp · Carlos Riquelme · Basil Mustafa · Joshua Ainslie · Yi Tay · Mostafa Dehghani · Neil Houlsby
[ Poster [ OpenReview
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MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
Jiaxun Cui · Xiaomeng Yang · Mulong Luo · Geunbae Lee · Peter Stone · Hsien-Hsin Lee · Benjamin Lee · G. Edward Suh · Wenjie Xiong · Yuandong Tian
[ Slides [ Poster [ OpenReview
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BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
Fu-Yun Wang · Da-Wei Zhou · Liu Liu · Han-Jia Ye · Yatao Bian · De-Chuan Zhan · Peilin Zhao
[ Poster [ OpenReview
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PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao · Cheng Tan · Stan Z Li
[ Poster [ OpenReview
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Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
Sen Yang · Wen Heng · Gang Liu · GUOZHONG LUO · Wankou Yang · Gang Yu
[ Poster [ OpenReview
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Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Jianxiong Li · Xiao Hu · Haoran Xu · Jingjing Liu · Xianyuan Zhan · Qing-Shan Jia · Ya-Qin Zhang
[ OpenReview
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han · Mengyu Zhou · Shi Han · Xiu Li · Dongmei Zhang
[ Slides [ Poster [ OpenReview
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Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang · Huangjie Zheng · Pengcheng He · Weizhu Chen · Mingyuan Zhou
[ Poster [ OpenReview
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@ MH1-2-3-4 None
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer · Adam Polyak · Thomas Hayes · Xi Yin · Jie An · Songyang Zhang · Qiyuan Hu · Harry Yang · Oron Ashual · Oran Gafni · Devi Parikh · Sonal Gupta · Yaniv Taigman
[ Poster [ OpenReview
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@ MH1-2-3-4 None
kNN-Diffusion: Image Generation via Large-Scale Retrieval
Shelly Sheynin · Oron Ashual · Adam Polyak · Uriel Singer · Oran Gafni · Eliya Nachmani · Yaniv Taigman
[ Poster [ OpenReview
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Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
Yibo Yang · Haobo Yuan · Xiangtai Li · Zhouchen Lin · Philip Torr · Dacheng Tao
[ OpenReview
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Is a Caption Worth a Thousand Images? A Study on Representation Learning
Shibani Santurkar · Yann Dubois · Rohan Taori · Percy Liang · Tatsunori Hashimoto
[ Poster [ OpenReview
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Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
Alexander Munteanu · Simon Omlor · David Woodruff
[ Slides [ Poster [ OpenReview
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Molecule Generation For Target Protein Binding with Structural Motifs
ZAIXI ZHANG · Yaosen Min · Shuxin Zheng · Qi Liu
[ OpenReview
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Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini · Sejun Park · Manuela Girotti · Ioannis Mitliagkas · Murat A Erdogdu
[ Poster [ OpenReview
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou · Nathanael Schaerli · Le Hou · Jason Wei · Nathan Scales · Xuezhi Wang · Dale Schuurmans · Claire Cui · Olivier Bousquet · Quoc V Le · Ed H. Chi
[ OpenReview
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Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
Ruben Villegas · Mohammad Babaeizadeh · Pieter-Jan Kindermans · Hernan Moraldo · Han Zhang · Mohammad Taghi Saffar · Santiago Castro · Julius Kunze · Dumitru Erhan
[ OpenReview
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Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
Zaid Khan · Yun Fu
[ OpenReview
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NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang · Dawei Li · Ruoyu Sun
[ Poster [ OpenReview
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Revisiting the Assumption of Latent Separability for Backdoor Defenses
Xiangyu Qi · Tinghao Xie · Yiming Li · Saeed Mahloujifar · Prateek Mittal
[ OpenReview
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ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
Chiu Wai Yan · Tsz Him Cheung · Dit-Yan Yeung
[ Slides [ Poster [ OpenReview
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Restricted Strong Convexity of Deep Learning Models with Smooth Activations
Arindam Banerjee · Pedro Cisneros-Velarde · Libin Zhu · Misha Belkin
[ Poster [ OpenReview
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Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
Huangjie Zheng · Pengcheng He · Weizhu Chen · Mingyuan Zhou
[ Poster [ OpenReview
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
[ OpenReview
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NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
Heewon Kim · Kyoung Mu Lee
[ OpenReview
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RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Shancong Mou · Xiaoyi Gu · Meng Cao · Haoping Bai · Ping Huang · Jiulong Shan · Jianjun Shi
[ Poster [ OpenReview
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Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins
Hehe Fan · Zhangyang Wang · Yi Yang · Mohan Kankanhalli
[ Poster [ OpenReview
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Basic Binary Convolution Unit for Binarized Image Restoration Network
Bin Xia · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Radu Timofte · Luc Van Gool
[ Poster [ OpenReview
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Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Bin Xia · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Radu Timofte · Luc Van Gool
[ Poster [ OpenReview
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Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SungYub Kim · Sihwan Park · Kyungsu Kim · Eunho Yang
[ Slides [ Poster [ OpenReview
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Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang · Feng Zhu · Rui Zhao · Junchi Yan
[ Poster [ OpenReview
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Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie · Wei Li · Xiaohang Zhan · Ziwei Liu · Yew-Soon Ong · Chen Change Loy
[ Poster [ OpenReview
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On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
Zijian Liu · Ta Duy Nguyen · Alina Ene · Huy Nguyen
[ Poster [ OpenReview
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Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots
Yuxing Wang · Shuang Wu · Haobo Fu · QIANG FU · Tiantian Zhang · Yongzhe Chang · Xueqian Wang
[ Poster [ OpenReview
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Instance-wise Batch Label Restoration via Gradients in Federated Learning
Kailang Ma · Yu Sun · Jian Cui · Dawei Li · Zhenyu Guan · Jianwei Liu
[ Slides [ Poster [ OpenReview
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TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Haoxuan Li · Yan Lyu · Chunyuan Zheng · Peng Wu
[ OpenReview
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Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
Yao Shu · Zhongxiang Dai · Weicong Sng · Arun Verma · Patrick Jaillet · Bryan Kian Hsiang Low
[ Poster [ OpenReview
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Decompositional Generation Process for Instance-Dependent Partial Label Learning
Congyu Qiao · Ning Xu · Xin Geng
[ OpenReview
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Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
Shaofeng Zhang · Feng Zhu · Rui Zhao · Junchi Yan
[ Poster [ OpenReview
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SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li · Kan Ren · XINYANG JIANG · Yifei Shen · Haipeng Zhang · Dongsheng Li
[ Poster [ OpenReview
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DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
Yan Zhao · Ruihai Wu · Zhehuan Chen · Yourong Zhang · Qingnan Fan · Kaichun Mo · Hao Dong
[ Slides [ Poster [ OpenReview
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On amortizing convex conjugates for optimal transport
Brandon Amos
[ OpenReview
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Achieve the Minimum Width of Neural Networks for Universal Approximation
Yongqiang Cai
[ Slides [ Poster [ OpenReview
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Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
zhengdong Hu · Yifan Sun · Yi Yang
[ Poster [ OpenReview
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Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub · Sebastian Otte · Tobias Menge · Matthias Karlbauer · Jannik Thuemmel · Martin V. Butz
[ OpenReview
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Gromov-Wasserstein Autoencoders
Nao Nakagawa · Ren Togo · Takahiro Ogawa · Miki Haseyama
[ OpenReview
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3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee · Shunxing Bao · Yuankai Huo · Bennett Landman
[ Slides [ Poster [ OpenReview
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BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Zehui Chen · Zhenyu Li · Shiquan Zhang · Liangji Fang · Qinhong Jiang · Feng Zhao
[ OpenReview
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The Surprising Computational Power of Nondeterministic Stack RNNs
Brian DuSell · David Chiang
[ Poster [ OpenReview
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UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Jinhao Jiang · Kun Zhou · Xin Zhao · Ji-Rong Wen
[ OpenReview
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None
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
Jun Xia · Chengshuai Zhao · Bozhen Hu · Zhangyang Gao · Cheng Tan · Yue Liu · Siyuan Li · Stan Z Li
[ Poster [ OpenReview
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Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian GE · Jiangliu Wang · Zhan Tong · Shoufa Chen · Yibing Song · Ping Luo
[ Poster [ OpenReview
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None
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
Lin Zhang · Shaohuai Shi · Bo Li
[ OpenReview
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SketchKnitter: Vectorized Sketch Generation with Diffusion Models
wang qiang · Hao Deng · Yonggang Qi · Da Li · Yi-Zhe Song
[ Slides [ OpenReview
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IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
Ruifei He · Shuyang Sun · Xin Yu · Chuhui Xue · Wenqing Zhang · Philip Torr · Song Bai · XIAOJUAN QI
[ Poster [ OpenReview
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A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
Marc A Finzi · Andres Potapczynski · Matthew Choptuik · Andrew Wilson
[ OpenReview
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FairGBM: Gradient Boosting with Fairness Constraints
André F Cruz · Catarina Belém · João Bravo · Pedro Saleiro · Pedro Bizarro
[ Slides [ OpenReview
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Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Lirui Wang · Kaiqing Zhang · Yunzhu Li · Yonglong Tian · Russ Tedrake
[ OpenReview
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Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
Shitong Luo · Yufeng Su · Zuofan Wu · Chenpeng Su · Jian Peng · Jianzhu Ma
[ Poster [ OpenReview
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Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
Yoav Wald · Gal Yona · Uri Shalit · Yair Carmon
[ OpenReview
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AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
Bhargavi Paranjape · Pradeep Dasigi · Vivek Srikumar · Luke Zettlemoyer · Hannaneh Hajishirzi
[ Poster [ OpenReview
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Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
Cheng Zhang
[ Poster [ OpenReview
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Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang · Yatong Chen · Yang Liu · Kun Zhang
[ OpenReview
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MCAL: Minimum Cost Human-Machine Active Labeling
Hang Qiu · Krishna Chintalapudi · Ramesh Govindan
[ OpenReview
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The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun CEN · Di Luan · Shiwei Zhang · Yixuan Pei · yingya zhang · Deli Zhao · Shaojie Shen · Qifeng Chen
[ Poster [ OpenReview
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Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Lyndon Duong · Jingyang Zhou · Josue Nassar · Jules Berman · Jeroen Olieslagers · Alex Williams
[ OpenReview
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PGrad: Learning Principal Gradients For Domain Generalization
Zhe Wang · Jake Grigsby · Yanjun Qi
[ OpenReview
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Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
Edward De Brouwer · Rahul G. Krishnan
[ OpenReview
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Neural Design for Genetic Perturbation Experiments
Aldo Pacchiano · Drausin Wulsin · Robert Barton · Luis Voloch
[ Poster [ OpenReview
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang · Jason Wei · Dale Schuurmans · Quoc V Le · Ed H. Chi · SHARAN NARANG · Aakanksha Chowdhery · Denny Zhou
[ Slides [ Poster [ OpenReview
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Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
Han Wu · Jie Yin · Balakanapathy Rajaratnam · Jianyuan Guo
[ OpenReview
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DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Donghan Yu · Sheng Zhang · Patrick Ng · Henghui Zhu · Alexander Hanbo Li · Jun Wang · Yiqun Hu · William Wang · Zhiguo Wang · Bing Xiang
[ OpenReview
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Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Shuaichen Chang · Jun Wang · Mingwen Dong · Lin Pan · Henghui Zhu · Alexander Hanbo Li · Wuwei Lan · Sheng Zhang · Jiarong Jiang · Joseph Lilien · Steve Ash · William Wang · Zhiguo Wang · Vittorio Castelli · Patrick Ng · Bing Xiang
[ Slides [ Poster [ OpenReview
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Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack · Simran Kaur · Tanya Marwah · Saurabh Garg · Zachary Lipton
[ Poster [ OpenReview
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PV3D: A 3D Generative Model for Portrait Video Generation
Eric Zhongcong Xu · Jianfeng Zhang · Jun Hao Liew · Wenqing Zhang · Song Bai · Jiashi Feng · Mike Zheng Shou
[ Poster [ OpenReview
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Volumetric Optimal Transportation by Fast Fourier Transform
Na Lei · DONGSHENG An · Min Zhang · Xiaoyin Xu · David Gu
[ OpenReview
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Vision Transformer Adapter for Dense Predictions
Zhe Chen · Yuchen Duan · Wenhai Wang · Junjun He · Tong Lu · Jifeng Dai · Yu Qiao
[ Poster [ OpenReview
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Learning Simultaneous Navigation and Construction in Grid Worlds
Wenyu Han · Haoran Wu · Eisuke Hirota · Alexander Gao · Lerrel Pinto · Ludovic Righetti · Chen Feng
[ OpenReview
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Extracting Robust Models with Uncertain Examples
Guanlin Li · Guowen Xu · Shangwei Guo · Han Qiu · Jiwei Li · Tianwei Zhang
[ Poster [ OpenReview
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Text Summarization with Oracle Expectation
Yumo Xu · Mirella Lapata
[ OpenReview
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Learning Sparse Group Models Through Boolean Relaxation
Yijie Wang · Yuan Zhou · Xiaoqing Huang · Kun Huang · Jie Zhang · Jianzhu Ma
[ Slides [ OpenReview
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Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
Shuting Shen · Junwei Lu
[ Poster [ OpenReview
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TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
Tianjun Zhang · Xuezhi Wang · Denny Zhou · Dale Schuurmans · Joseph E Gonzalez
[ OpenReview
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How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
Albert Gu · Isys Johnson · Aman Timalsina · Atri Rudra · Christopher Re
[ OpenReview
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Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
Xiang Ji · Minshuo Chen · Mengdi Wang · Tuo Zhao
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Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
Chuanhao Li · Huazheng Wang · Mengdi Wang · Hongning Wang
[ Slides [ OpenReview
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Representation Learning for Low-rank General-sum Markov Games
Chengzhuo Ni · Yuda Song · Xuezhou Zhang · Zihan Ding · Chi Jin · Mengdi Wang
[ OpenReview
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Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Zheng Yu · Yikuan Li · Joseph Kim · Kaixuan Huang · Yuan Luo · Mengdi Wang
[ Slides [ Poster [ OpenReview
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Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang · Yinpeng Chen · mengchen liu · Dongdong Chen · Xiyang Dai · Lu Yuan · Zicheng Liu · Zhangyang Wang
[ OpenReview
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Alternating Differentiation for Optimization Layers
Haixiang Sun · Ye Shi · Jingya Wang · Hoang Tuan · H. Vincent Poor · Dacheng Tao
[ OpenReview
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Noise Injection Node Regularization for Robust Learning
Noam Levi · Itay Bloch · Marat Freytsis · Tomer Volansky
[ OpenReview
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Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Guangji Bai · Chen Ling · Liang Zhao
[ OpenReview
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Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model
Jeremiah Blocki · Seunghoon Lee · Tamalika Mukherjee · Samson Zhou
[ OpenReview
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Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
Daniel D Johnson · Ayoub El Hanchi · Chris Maddison
[ Slides [ OpenReview
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Few-Shot Domain Adaptation For End-to-End Communication
Jayaram Raghuram · Yijing Zeng · Dolores Garcia · Rafael Ruiz · Somesh Jha · Joerg Widmer · Suman Banerjee
[ Slides [ OpenReview
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Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Simone Zini · Alex Gomez-Villa · Marco Buzzelli · Bartłomiej Twardowski · Andrew Bagdanov · Joost van de Weijer
[ Slides [ Poster [ OpenReview
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Revisiting the Entropy Semiring for Neural Speech Recognition
Oscar Chang · Dongseong Hwang · Olivier Siohan
[ OpenReview
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ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
Pengzhen Ren · Changlin Li · Hang Xu · Yi Zhu · Guangrun Wang · Jianzhuang Liu · Xiaojun Chang · Xiaodan Liang
[ Poster [ OpenReview
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The Dark Side of AutoML: Towards Architectural Backdoor Search
Ren Pang · Changjiang Li · Zhaohan Xi · Shouling Ji · Ting Wang
[ Poster [ OpenReview
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ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu · Peng Dai · Ruihui Li · XIAOJUAN QI · Chi-Wing Fu
[ Poster [ OpenReview
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BrainBERT: Self-supervised representation learning for intracranial recordings
Christopher Wang · Vighnesh Subramaniam · Adam Yaari · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu
[ Poster [ OpenReview
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Flow Matching for Generative Modeling
Yaron Lipman · Ricky T. Q. Chen · Heli Ben-Hamu · Maximilian Nickel · Matthew Le
[ OpenReview
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Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
Jun-Kun Wang · Andre Wibisono
[ OpenReview
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Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui · Victor Veitch
[ Poster [ OpenReview
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Guarded Policy Optimization with Imperfect Online Demonstrations
Zhenghai Xue · Zhenghao Peng · Quanyi Li · ZHIHAN LIU · Bolei Zhou
[ OpenReview
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On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu · Zijian Guo · Zhepeng Cen · Huan Zhang · Jie Tan · Bo Li · DING ZHAO
[ Poster [ OpenReview
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Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu · Zhi Tian · Bo Zhang · Xinlong Wang · Chunhua Shen
[ Poster [ OpenReview
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Understanding new tasks through the lens of training data via exponential tilting
Subha Maity · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
[ Poster [ OpenReview
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Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Tong Wu · Jiaqi Wang · Xingang Pan · Xudong XU · Christian Theobalt · Ziwei Liu · Dahua Lin
[ OpenReview
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Multimodal Analogical Reasoning over Knowledge Graphs
Ningyu Zhang · Lei Li · Xiang Chen · Xiaozhuan Liang · Shumin Deng · Huajun Chen
[ Poster [ OpenReview
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Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Subha Maity · Debarghya Mukherjee · Moulinath Banerjee · Yuekai Sun
[ Poster [ OpenReview
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Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Renyu Zhang · Aly Khan · Robert Grossman · Yuxin Chen
[ OpenReview
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Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
Jianye HAO · Xiaotian Hao · Hangyu Mao · Weixun Wang · Yaodong Yang · Dong Li · YAN ZHENG · Zhen Wang
[ Poster [ OpenReview
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Learned Index with Dynamic $\epsilon$
Daoyuan Chen · Wuchao Li · Yaliang Li · Bolin Ding · Kai Zeng · Defu Lian · Jingren Zhou
[ OpenReview
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None
Accelerated Single-Call Methods for Constrained Min-Max Optimization
Yang Cai · Weiqiang Zheng
[ Poster [ OpenReview
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MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang · Siyuan Qiao · Qihang Yu · Xiaoding Yuan · Yukun Zhu · Alan Yuille · Hartwig Adam · Liang-Chieh Chen
[ OpenReview
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Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
Christian Haase · Christoph Hertrich · Georg Loho
[ Slides [ OpenReview
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Visual Recognition with Deep Nearest Centroids
Wenguan Wang · Cheng Han · Tianfei Zhou · Dongfang Liu
[ OpenReview
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Statistical Inference for Fisher Market Equilibrium
Luofeng Liao · Yuan Gao · Christian Kroer
[ OpenReview
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Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
Pan Zhou · Xingyu Xie · shuicheng YAN
[ OpenReview
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OTOv2: Automatic, Generic, User-Friendly
Tianyi Chen · Luming Liang · Tianyu Ding · Zhihui Zhu · Ilya Zharkov
[ OpenReview
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Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
Shuzhou Sun · Shuaifeng Zhi · Janne Heikkila · Li Liu
[ Poster [ OpenReview
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Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
Canzhe Zhao · Ruofeng Yang · Baoxiang Wang · Shuai Li
[ OpenReview
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Compositional Law Parsing with Latent Random Functions
Fan Shi · Bin Li · Xiangyang Xue
[ Poster [ OpenReview
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MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion
Chao Liao · Jianchao Tan · Jiyuan Jia · Yi Guo · Chengru Song
[ OpenReview
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DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang · Mahmut Yurt · Ali Syed · Kawin Setsompop · Akshay Chaudhari
[ Poster [ OpenReview
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Information-Theoretic Diffusion
Xianghao Kong · Rob Brekelmans · Greg Ver Steeg
[ Slides [ Poster [ OpenReview
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Evaluating Long-Term Memory in 3D Mazes
Jurgis Pašukonis · Timothy Lillicrap · Danijar Hafner
[ Poster [ OpenReview
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Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
Pihe Hu · Yu Chen · Longbo Huang
[ OpenReview
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Semi-supervised Community Detection via Structural Similarity Metrics
Yicong Jiang · Tracy Ke
[ OpenReview
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Quasi-optimal Reinforcement Learning with Continuous Actions
Yuhan Li · Wenzhuo Zhou · Ruoqing Zhu
[ Slides [ Poster [ OpenReview
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Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
YunYoung Choi · Sun Woo Park · Youngho Woo · U Jin Choi
[ OpenReview
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Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
Tianyang Hu · Zhili LIU · Fengwei Zhou · Wenjia Wang · Weiran Huang
[ Poster [ OpenReview
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Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
Yixiong Chen · Alan Yuille · Zongwei Zhou
[ Poster [ OpenReview
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Breaking Correlation Shift via Conditional Invariant Regularizer
Mingyang Yi · Ruoyu Wang · Jiacheng Sun · Zhenguo Li · Zhi-Ming Ma
[ Poster [ OpenReview
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None
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
Jinxi Xiang · Jun Zhang
[ Poster [ OpenReview
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Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
Dongzhuo Li
[ OpenReview
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Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan · Zhongfan Jia · Qian Li · Yi Zhong · Kaisheng Ma
[ OpenReview
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Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai · Vincent Zhao · Ji Ma · Yi Luan · Jianmo Ni · Jing Lu · Anton Bakalov · Kelvin Guu · Keith Hall · Ming-Wei Chang
[ OpenReview
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EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan · Jianye HAO · Fei Ni · Yao Mu · YAN ZHENG · Yujing Hu · Jinyi Liu · Yingfeng Chen · Changjie Fan
[ Poster [ OpenReview
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Human MotionFormer: Transferring Human Motions with Vision Transformers
Hongyu Liu · Xintong Han · Cheng-Bin Jin · Lihui Qian · Huawei Wei · Zhe Lin · Faqiang Wang · Haoye Dong · Yibing Song · Jia Xu · Qifeng Chen
[ Poster [ OpenReview
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Memorization-Dilation: Modeling Neural Collapse Under Noise
Duc Anh Nguyen · Ron Levie · Julian Lienen · Eyke Hüllermeier · Gitta Kutyniok
[ Poster [ OpenReview
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Toward Adversarial Training on Contextualized Language Representation
Hongqiu Wu · Yongxiang Liu · Hanwen Shi · hai zhao · Min Zhang
[ OpenReview
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CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li · Shuang Luo · haozhi wang · Jianye HAO
[ OpenReview
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Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
Shengchao Liu · Hongyu Guo · Jian Tang
[ Slides [ Poster [ OpenReview
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Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
Haiyang Yang · Xiaotong Li · SHIXIANG TANG · Feng Zhu · Yizhou Wang · Meilin Chen · LEI BAI · Rui Zhao · Wanli Ouyang
[ OpenReview
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None
S-NeRF: Neural Radiance Fields for Street Views
Ziyang Xie · Junge Zhang · Wenye Li · Feihu Zhang · Li Zhang
[ Poster [ OpenReview
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Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
Shuyang Yu · Junyuan Hong · Haotao Wang · Zhangyang Wang · Jiayu Zhou
[ Poster [ OpenReview
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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng · James Liang · Guanhong Tao · Dongfang Liu · Xiangyu Zhang
[ Poster [ OpenReview
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The Power of Regularization in Solving Extensive-Form Games
Mingyang Liu · Asuman Ozdaglar · Tiancheng Yu · Kaiqing Zhang
[ OpenReview
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Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
Borui Zhang · Wenzhao Zheng · Jie Zhou · Jiwen Lu
[ Poster [ OpenReview
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Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham · Hung Le · Man Ngo · Truyen Tran
[ OpenReview
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RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo · Jong-Chyi Su · Chih-Yao Ma · Mahmoud Assran · Ishan Misra · Licheng Yu · Sean Bell
[ Poster [ OpenReview
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Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
Kun Wang · Yuxuan Liang · Pengkun Wang · Xu Wang · Pengfei Gu · Junfeng Fang · Yang Wang
[ Poster [ OpenReview
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None
Are More Layers Beneficial to Graph Transformers?
Haiteng Zhao · Shuming Ma · Dongdong Zhang · Zhi-Hong Deng · Furu Wei
[ OpenReview
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Transformer-Patcher: One Mistake Worth One Neuron
Zeyu Huang · Yikang Shen · Xiaofeng Zhang · Jie Zhou · Wenge Rong · Zhang Xiong
[ OpenReview
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Mitigating Memorization of Noisy Labels via Regularization between Representations
Hao Cheng · Zhaowei Zhu · Xing Sun · Yang Liu
[ Poster [ OpenReview
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LMSeg: Language-guided Multi-dataset Segmentation
Qiang Zhou · Yuang Liu · Chaohui Yu · Jingliang Li · Zhibin Wang · Fan Wang
[ Poster [ OpenReview
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Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
JIAHUI GAO · Renjie Pi · LIN Yong · Hang Xu · Jiacheng Ye · Zhiyong Wu · WEIZHONG ZHANG · Xiaodan Liang · Zhenguo Li · Lingpeng Kong
[ Poster [ OpenReview
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On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
[ Poster [ OpenReview
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Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Zhongkai Hao · Chengyang Ying · Hang Su · Jun Zhu · Jian Song · Ze Cheng
[ OpenReview
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Phase transition for detecting a small community in a large network
Jiashun Jin · Tracy Ke · Paxton Turner · Anru Zhang
[ Poster [ OpenReview
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None
Improving Object-centric Learning with Query Optimization
Baoxiong Jia · Yu Liu · Siyuan Huang
[ OpenReview
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Adversarial Attacks on Adversarial Bandits
Yuzhe Ma · Zhijin Zhou
[ OpenReview
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Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu · Xinyi Tong · Shao-Lun Huang
[ OpenReview
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Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
Chunhui Zhang · Yijun Tian · Mingxuan Ju · Zheyuan Liu · Yanfang Ye · Nitesh Chawla · Chuxu Zhang
[ OpenReview
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Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang · Tolga Ergen · Mert Pilanci
[ Poster [ OpenReview
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Time to augment self-supervised visual representation learning
Arthur Aubret · Markus Ernst · Céline Teulière · Jochen Triesch
[ OpenReview
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Optimal Activation Functions for the Random Features Regression Model
Jianxin Wang · José Bento
[ Slides [ Poster [ OpenReview
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Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
Chongyi Li · Chun-Le Guo · man zhou · Zhexin Liang · Shangchen Zhou · Ruicheng Feng · Chen Change Loy
[ Poster [ OpenReview
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Learning Object-Language Alignments for Open-Vocabulary Object Detection
Chuang Lin · Peize Sun · Yi Jiang · Ping Luo · Lizhen Qu · Gholamreza Haffari · Zehuan Yuan · Jianfei Cai
[ OpenReview
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Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu · Weixi Feng · Wanrong Zhu · Wenda Xu · Xin Wang · Miguel Eckstein · William Wang
[ OpenReview
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Meta Knowledge Condensation for Federated Learning
Ping Liu · Xin Yu · Joey T Zhou
[ Poster [ OpenReview
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CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
Hongwei Xue · Yuchong Sun · Bei Liu · Jianlong Fu · Ruihua Song · Houqiang Li · Jiebo Luo
[ Poster [ OpenReview
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None
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
Yuchen Liu · Ziyu Jia
[ Poster [ OpenReview
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None
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
Sheng Zhang · Hao Cheng · Jianfeng Gao · Hoifung Poon
[ OpenReview
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Denoising Diffusion Error Correction Codes
Yoni Choukroun · Lior Wolf
[ Poster [ OpenReview
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None
Distributional Meta-Gradient Reinforcement Learning
Haiyan Yin · shuicheng YAN · Zhongwen Xu
[ OpenReview
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Deja Vu: Continual Model Generalization for Unseen Domains
Chenxi Liu · Lixu Wang · Lingjuan Lyu · Chen Sun · Xiao Wang · Qi Zhu
[ Poster [ OpenReview
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None
Contrastive Corpus Attribution for Explaining Representations
Chris Lin · Hugh Chen · Chanwoo Kim · Su-In Lee
[ OpenReview
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Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao · Min Zhao · Zhongkai Hao · Peiyao Li · Chongxuan Li · Jun Zhu
[ Poster [ OpenReview
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None
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
Shuangshuang Chen · Sihao Ding · Yiannis Karayiannidis · Mårten Björkman
[ OpenReview
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None
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
Tobias Pielok · Bernd Bischl · David Rügamer
[ OpenReview
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None
Deep Variational Implicit Processes
Luis A. Ortega · Simon Rodriguez · Daniel Hernández-Lobato
[ Slides [ Poster [ OpenReview
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None
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
Jie Zhang · Chen Chen · Lingjuan Lyu
[ Poster [ OpenReview
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SIMPLE: A Gradient Estimator for k-Subset Sampling
Kareem Ahmed · Zhe Zeng · Mathias Niepert · Guy Van den Broeck
[ Poster [ OpenReview
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LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
Ziwei Chen · Qiang Li · Xiaofeng Wang · Wankou Yang
[ Poster [ OpenReview
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MECTA: Memory-Economic Continual Test-Time Model Adaptation
Junyuan Hong · Lingjuan Lyu · Jiayu Zhou · Michael Spranger
[ Slides [ Poster [ OpenReview
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Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
Ali Hummos
[ OpenReview
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Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wisadwongsa · Supasorn Suwajanakorn
[ Poster [ OpenReview
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Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
Martin Zong · Zengyu Qiu · Xinzhu Ma · Kunlin Yang · Chunya Liu · Jun Hou · Shuai Yi · Wanli Ouyang
[ OpenReview
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Asynchronous Distributed Bilevel Optimization
Yang Jiao · Kai Yang · Tiancheng Wu · Dongjin Song · Chengtao Jian
[ Poster [ OpenReview
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Towards Open Temporal Graph Neural Networks
Kaituo Feng · Changsheng Li · Xiaolu Zhang · JUN ZHOU
[ Slides [ OpenReview
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Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
Jiachun Pan · Pan Zhou · shuicheng YAN
[ Poster [ OpenReview
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ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Jianye HAO · Pengyi Li · Hongyao Tang · YAN ZHENG · Xian Fu · Zhaopeng Meng
[ Poster [ OpenReview
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Graph Contrastive Learning for Skeleton-based Action Recognition
Xiaohu Huang · Hao Zhou · Jian Wang · Haocheng Feng · Junyu Han · Errui Ding · Jingdong Wang · Xinggang Wang · Wenyu Liu · Bin Feng
[ Poster [ OpenReview
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Memory Gym: Partially Observable Challenges to Memory-Based Agents
Marco Pleines · Matthias Pallasch · Frank Zimmer · Mike Preuss
[ OpenReview
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Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Tom Zahavy · Yannick Schroecker · Feryal Behbahani · Kate Baumli · Sebastian Flennerhag · Shaobo Hou · Satinder Singh
[ Poster [ OpenReview
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MocoSFL: enabling cross-client collaborative self-supervised learning
Jingtao Li · Lingjuan Lyu · Daisuke Iso · Chaitali Chakrabarti · Michael Spranger
[ OpenReview
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Distilling Cognitive Backdoor Patterns within an Image
Hanxun Huang · Xingjun Ma · Sarah Erfani · James Bailey
[ Poster [ OpenReview
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Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi · Sebastian Pineda Arango · Josif Grabocka
[ Poster [ OpenReview
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Fair Attribute Completion on Graph with Missing Attributes
Dongliang Guo · Zhixuan Chu · Sheng Li
[ Poster [ OpenReview
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Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
Meng Liu · Haoran Liu · Shuiwang Ji
[ OpenReview
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Multi-domain image generation and translation with identifiability guarantees
Shaoan Xie · Lingjing Kong · Mingming Gong · Kun Zhang
[ OpenReview
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Understanding Why Generalized Reweighting Does Not Improve Over ERM
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep K Ravikumar
[ Poster [ OpenReview
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Discovering Informative and Robust Positives for Video Domain Adaptation
Chang Liu · Kunpeng Li · Michael Stopa · Jun Amano · Yun Fu
[ OpenReview
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Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
Bariscan Bozkurt · Ateş İsfendiyaroğlu · Cengiz Pehlevan · Alper Erdogan
[ Slides [ Poster [ OpenReview
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Batch Multivalid Conformal Prediction
Christopher Jung · Georgy Noarov · Ramya Ramalingam · Aaron Roth
[ OpenReview
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Generate rather than Retrieve: Large Language Models are Strong Context Generators
Wenhao Yu · Dan Iter · Shuohang Wang · Yichong Xu · Mingxuan Ju · Soumya Sanyal · Chenguang Zhu · Michael Zeng · Meng Jiang
[ OpenReview
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Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng · Nesreen Ahmed · Yizhou Sun
[ Poster [ OpenReview
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Non-parametric Outlier Synthesis
Leitian Tao · Xuefeng Du · Xiaojin Zhu · Yixuan Li
[ OpenReview
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Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
Yunhao Zhang · Junchi Yan
[ Poster [ OpenReview
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Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang · Andre Wibisono
[ OpenReview
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Boosting Adversarial Transferability using Dynamic Cues
Muzammal Naseer · Ahmad Mahmood · Salman Khan · Fahad Khan
[ Poster [ OpenReview
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StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
Yuechen Yu · yulin li · Chengquan Zhang · Xiaoqiang Zhang · Zengyuan Guo · Xiameng Qin · Kun Yao · Junyu Han · Errui Ding · Jingdong Wang
[ Poster [ OpenReview
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Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
Jeremy Ocampo · Matthew Price · Jason McEwen
[ Poster [ OpenReview
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Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng · Xuehai He · Tsu-Jui Fu · Varun Jampani · Arjun Akula · Pradyumna Narayana · S Basu · Xin Wang · William Wang
[ Poster [ OpenReview
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CrAM: A Compression-Aware Minimizer
Alexandra Peste · Adrian Vladu · Eldar Kurtic · Christoph H Lampert · Dan Alistarh
[ Poster [ OpenReview
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Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
Brian Chmiel · Ron Banner · Elad Hoffer · Hilla Ben-Yaacov · Daniel Soudry
[ Poster [ OpenReview
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Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang · Yuan Zhao · Ziang Cui · Liqun Li · Shilin He · Qingwei Lin · Yingnong Dang · Saravan Rajmohan · Dongmei Zhang
[ Poster [ OpenReview
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Learning Fast and Slow for Online Time Series Forecasting
Quang Pham · Chenghao Liu · Doyen Sahoo · Steven Hoi
[ Poster [ OpenReview
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Learning to Generate Columns with Application to Vertex Coloring
Yuan Sun · Andreas Ernst · Xiaodong Li · Jake Weiner
[ OpenReview
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CodeT: Code Generation with Generated Tests
Bei Chen · Fengji Zhang · Anh Nguyen · Daoguang Zan · Zeqi Lin · Jian-Guang Lou · Weizhu Chen
[ OpenReview
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Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange · Gido M van de Ven · Tinne Tuytelaars
[ OpenReview
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Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
Phillip Lippe · Sara Magliacane · Sindy Löwe · Yuki Asano · Taco Cohen · Efstratios Gavves
[ Slides [ OpenReview
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Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
Jie Ren · Zhanpeng Zhou · Chen Qirui · Quanshi Zhang
[ Poster [ OpenReview
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Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
Yulun Wu · Rob Barton · Zichen Wang · Vassilis N. Ioannidis · Carlo De Donno · Layne Price · Luis Voloch · George Karypis
[ Poster [ OpenReview
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Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin · Jinghui Chen · Hongning Wang
[ OpenReview
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Accurate Image Restoration with Attention Retractable Transformer
Jiale Zhang · Yulun Zhang · Jinjin Gu · Yongbing Zhang · Linghe Kong · Xin Yuan
[ Poster [ OpenReview
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Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie · Shuang Li · Rui Zhang · Chi Liu
[ Poster [ OpenReview
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Continual Transformers: Redundancy-Free Attention for Online Inference
Lukas Hedegaard · Arian Bakhtiarnia · Alexandros Iosifidis
[ OpenReview
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Automated Data Augmentations for Graph Classification
Youzhi Luo · Michael McThrow · Wing Yee Au · Tao Komikado · Kanji Uchino · Koji Maruhashi · Shuiwang Ji
[ Poster [ OpenReview
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Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
Chao Chen · Haoyu Geng · Gang Zeng · Zhaobing Han · Hua Chai · Xiaokang Yang · Junchi Yan
[ Slides [ Poster [ OpenReview
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Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin · Xiang Ren · Daniel Preotiuc-Pietro · Pengxiang Cheng
[ OpenReview
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SP2 : A Second Order Stochastic Polyak Method
Shuang Li · William Swartworth · Martin Takáč · Deanna Needell · Robert M. Gower
[ Poster [ OpenReview
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Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Rui Yuan · Simon Du · Robert M. Gower · Alessandro Lazaric · Lin Xiao
[ OpenReview
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MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Qihao Zhao · Yangyu Huang · Wei Hu · Fan Zhang · Jun Liu
[ Slides [ Poster [ OpenReview
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EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou · XINYANG JIANG · Cai Zhao · Dongsheng Li
[ Poster [ OpenReview
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InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuoran Yu · Yin Li · Yong Jae Lee
[ OpenReview
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Transformer Meets Boundary Value Inverse Problems
Ruchi Guo · Shuhao Cao · Long Chen
[ Slides [ Poster [ OpenReview
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Spherical Sliced-Wasserstein
Clément Bonet · Paul Berg · Nicolas Courty · François Septier · Lucas Drumetz · Minh Tan Pham
[ Poster [ OpenReview
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KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang · Jiayi Zheng · Can Xu · Xiubo Geng · Tao Shen · Chongyang Tao · Daxin Jiang
[ OpenReview
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Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang · Zeke Xie · Hanyu Peng · Min Xu · Mingming Sun · Ping Li
[ OpenReview
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Faster Gradient-Free Methods for Escaping Saddle Points
Hualin Zhang · Bin Gu
[ Poster [ OpenReview
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Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
shuai ZHANG · Meng Wang · Pin-Yu Chen · Sijia Liu · Songtao Lu · Miao Liu
[ OpenReview
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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
[ Poster [ OpenReview
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Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie · Jürgen Schmidhuber
[ Poster [ OpenReview
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Progressive Prompts: Continual Learning for Language Models
Anastasia Razdaibiedina · Yuning Mao · Rui Hou · Madian Khabsa · Mike Lewis · Amjad Almahairi
[ Poster [ OpenReview
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SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Qiang Wan · Zilong Huang · Jiachen Lu · Gang Yu · Li Zhang
[ Poster [ OpenReview
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Robust Active Distillation
Cenk Baykal · Khoa Trinh · Fotis Iliopoulos · Gaurav Menghani · Erik Vee
[ Poster [ OpenReview
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Efficient Offline Policy Optimization with a Learned Model
Zichen Liu · Siyi Li · Wee Sun Lee · shuicheng YAN · Zhongwen Xu
[ Poster [ OpenReview
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Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Zhun Yang · Adam Ishay · Joohyung Lee
[ Poster [ OpenReview
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Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
Kaiqi Zhang · Yu-Xiang Wang
[ Poster [ OpenReview
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Masked Distillation with Receptive Tokens
Tao Huang · Yuan Zhang · Shan You · Fei Wang · Chen Qian · Jian Cao · Chang Xu
[ OpenReview
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New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung · Dongjin Lee · Sunwon Hong · Hyemi Jang · Ho Bae · Sungroh Yoon
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Improving Deep Policy Gradients with Value Function Search
Enrico Marchesini · Christopher Amato
[ OpenReview
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Critic Sequential Monte Carlo
Vasileios Lioutas · Jonathan Lavington · Justice Sefas · Matthew Niedoba · Yunpeng Liu · Berend Zwartsenberg · Setareh Dabiri · Frank Wood · Adam Scibior
[ Poster [ OpenReview
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Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
Shi Fu · Yunwen Lei · Qiong Cao · Xinmei Tian · Dacheng Tao
[ Slides [ Poster [ OpenReview
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Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
Zhenghao Liu · Chenyan Xiong · Yuanhuiyi Lv · Zhiyuan Liu · Ge Yu
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Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
Myeongho Jeon · Hyoje Lee · Yedarm Seong · Myungjoo Kang
[ OpenReview
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HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
Zefeng Cai · Chongyang Tao · Tao Shen · Can Xu · Xiubo Geng · Xin Lin · Liang He · Daxin Jiang
[ OpenReview
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SQA3D: Situated Question Answering in 3D Scenes
Xiaojian Ma · Silong Yong · Zilong Zheng · Qing Li · Yitao Liang · Song-Chun Zhu · Siyuan Huang
[ OpenReview
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A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Qing Li · Siyuan Huang · Yining Hong · Yixin Zhu · Yingnian Wu · Song-Chun Zhu
[ OpenReview
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BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
Jinchuan Tian · Brian Yan · Jianwei Yu · CHAO WENG · Dong Yu · Shinji Watanabe
[ OpenReview
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TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
Lingfeng Shen · Ze Zhang · Haiyun Jiang · Ying Chen
[ Poster [ OpenReview
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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He · Xuechen Li · Da Yu · Huishuai Zhang · Janardhan Kulkarni · Yin Tat Lee · Arturs Backurs · Nenghai Yu · Jiang Bian
[ OpenReview
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Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
Wenhao Zhan · Jason Lee · Zhuoran Yang
[ OpenReview
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández Lobato
[ Poster [ OpenReview
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AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec
[ Poster [ OpenReview
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DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon · Jakob Verbeek · Holger Schwenk · MATTHIEU CORD
[ Poster [ OpenReview
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Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
Amrith Setlur · Don Kurian Dennis · Benjamin Eysenbach · Aditi Raghunathan · Chelsea Finn · Virginia Smith · Sergey Levine
[ OpenReview
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Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Jianing ZHU · Jiangchao Yao · Tongliang Liu · Quanming Yao · Jianliang Xu · Bo Han
[ Poster [ OpenReview
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Denoising Masked Autoencoders Help Robust Classification
QuanLin Wu · Hang Ye · Yuntian Gu · Huishuai Zhang · Liwei Wang · Di He
[ Poster [ OpenReview
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GReTo: Remedying dynamic graph topology-task discordance via target homophily
Zhengyang Zhou · Qihe Huang · Gengyu Lin · Kuo Yang · LEI BAI · Yang Wang
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Better Generative Replay for Continual Federated Learning
Daiqing Qi · Handong Zhao · Sheng Li
[ Poster [ OpenReview
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Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models
Shangqian Gao · Burak Uzkent · Yilin Shen · Heng Huang · Hongxia Jin
[ Poster [ OpenReview
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Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Yujia Zheng · Ignavier Ng · Yewen Fan · Kun Zhang
[ OpenReview
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CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue · Guanbo Wang · Wei Shao · Zhaofeng Zhang · Sen Lin · Ju Ren · Junshan Zhang
[ Poster [ OpenReview
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FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun · Li Shen · Tiansheng Huang · Liang Ding · Dacheng Tao
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None
Learning Hyper Label Model for Programmatic Weak Supervision
Renzhi Wu · Shen-En Chen · Jieyu Zhang · Xu Chu
[ Slides [ Poster [ OpenReview
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Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
[ Slides [ OpenReview
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Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang ZHANG · Tong Che · Boris Ivanovic · Renhao Wang · Marco Pavone · Yoshua Bengio · Liam Paull
[ OpenReview
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Do We Really Need Complicated Model Architectures For Temporal Networks?
Weilin Cong · Si Zhang · Jian Kang · Baichuan Yuan · Hao Wu · Xin Zhou · Hanghang Tong · Mehrdad Mahdavi
[ OpenReview
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DepthFL : Depthwise Federated Learning for Heterogeneous Clients
Minjae Kim · Sangyoon Yu · Suhyun Kim · Soo-Mook Moon
[ Poster [ OpenReview
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Coverage-centric Coreset Selection for High Pruning Rates
Haizhong Zheng · Rui Liu · Fan Lai · Atul Prakash
[ OpenReview
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EVC: Towards Real-Time Neural Image Compression with Mask Decay
Guo-Hua Wang · Jiahao Li · Bin Li · Yan Lu
[ Slides [ Poster [ OpenReview
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None
Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury · Xingyu Zhou
[ Slides [ OpenReview
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Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Zhen Wang · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Huan Sun · Yoon Kim
[ OpenReview
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MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
Namyong Park · Ryan Rossi · Nesreen Ahmed · Christos Faloutsos
[ Poster [ OpenReview
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Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Qingru Zhang · Minshuo Chen · Alexander Bukharin · Pengcheng He · Yu Cheng · Weizhu Chen · Tuo Zhao
[ OpenReview
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None
Online Low Rank Matrix Completion
Soumyabrata Pal · Prateek Jain
[ Poster [ OpenReview
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Auto-Encoding Goodness of Fit
Aaron Palmer · Zhiyi Chi · Derek Aguiar · Jinbo Bi
[ OpenReview
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Stay Moral and Explore: Learn to Behave Morally in Text-based Games
Zijing Shi · Meng Fang · Yunqiu Xu · Ling Chen · Yali Du
[ OpenReview
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Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha · Hawoong Jeong
[ Poster [ OpenReview
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TypeT5: Seq2seq Type Inference using Static Analysis
Jiayi Wei · Greg Durrett · Isil Dillig
[ OpenReview
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DySR: Adaptive Super-Resolution via Algorithm and System Co-design
Syed Zawad · Cheng Li · Zhewei Yao · Elton Zheng · Yuxiong He · Feng Yan
[ Poster [ OpenReview
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None
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
[ Poster [ OpenReview
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None
ManyDG: Many-domain Generalization for Healthcare Applications
Chaoqi Yang · M Westover · Jimeng Sun
[ Poster [ OpenReview
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Monocular Scene Reconstruction with 3D SDF Transformers
Weihao Yuan · Xiaodong Gu · Heng Li · Zilong Dong · Siyu Zhu
[ Poster [ OpenReview
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Efficient approximation of neural population structure and correlations with probabilistic circuits
Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice
[ OpenReview
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None
Generalization and Estimation Error Bounds for Model-based Neural Networks
Avner Shultzman · Eyar Azar · Miguel Rodrigues · Yonina Eldar
[ OpenReview
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None
What shapes the loss landscape of self supervised learning?
Liu Ziyin · Ekdeep Singh Lubana · Masahito Ueda · Hidenori Tanaka
[ OpenReview
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Exploring Temporally Dynamic Data Augmentation for Video Recognition
Taeoh Kim · Jinhyung Kim · Minho Shim · Sangdoo Yun · Myunggu Kang · Dongyoon Wee · Sangyoun Lee
[ Poster [ OpenReview
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None
Understanding Train-Validation Split in Meta-Learning with Neural Networks
Xinzhe Zuo · Zixiang Chen · Huaxiu Yao · Yuan Cao · Quanquan Gu
[ Slides [ OpenReview
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Scaling Up Probabilistic Circuits by Latent Variable Distillation
Anji Liu · Honghua Zhang · Guy Van den Broeck
[ OpenReview
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Decompose to Generalize: Species-Generalized Animal Pose Estimation
guangrui li · Yifan Sun · Zongxin Yang · Yi Yang
[ OpenReview
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A Learning Based Hypothesis Test for Harmful Covariate Shift
Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan
[ Slides [ Poster [ OpenReview
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None
Function-Consistent Feature Distillation
Dongyang Liu · Meina Kan · Shiguang Shan · Xilin CHEN
[ OpenReview
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ImaginaryNet: Learning Object Detectors without Real Images and Annotations
Minheng Ni · Zitong Huang · Kailai Feng · Wangmeng Zuo
[ Poster [ OpenReview
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None
DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
Heng Li · Xiaodong Gu · Weihao Yuan · Luwei Yang · Zilong Dong · Ping Tan
[ Poster [ OpenReview
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None
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
[ Poster [ OpenReview
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None
Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation
Haoyue Cheng · Zhaoyang Liu · Wayne Wu · Limin Wang
[ OpenReview
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Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen · Ruixiang ZHANG · Geoffrey E Hinton
[ OpenReview
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Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Yihao Feng · Shentao Yang · Shujian Zhang · Jianguo Zhang · Caiming Xiong · Mingyuan Zhou · Huan Wang
[ OpenReview
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Human alignment of neural network representations
Lukas Muttenthaler · Jonas Dippel · Lorenz Johannes Linhardt · Robert A Vandermeulen · Simon Kornblith
[ OpenReview
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None
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Thanh Steve Lam · Arun Verma · Bryan Kian Hsiang Low · Patrick Jaillet
[ Poster [ OpenReview
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None
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin · Mengdi Wang · Yu-Xiang Wang
[ OpenReview
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Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
Yinan Huang · Xingang Peng · Jianzhu Ma · Muhan Zhang
[ Poster [ OpenReview
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None
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
Tianyu Hua · Yonglong Tian · Sucheng Ren · Michalis Raptis · Hang Zhao · Leonid Sigal
[ Poster [ OpenReview
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None
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein · Adam Fisch · Regina Barzilay · Tommi Jaakkola
[ Poster [ OpenReview
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None
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Jiawei Ren · Cunjun Yu · Siwei Chen · Xiao Ma · Liang Pan · Ziwei Liu
[ Poster [ OpenReview
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None
Causality Compensated Attention for Contextual Biased Visual Recognition
Ruyang Liu · Jingjia Huang · Thomas Li · Ge Li
[ Poster [ OpenReview
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None
Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
Noam Touitou · Nissim Halabi
[ OpenReview
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Bag of Tricks for Unsupervised Text-to-Speech
Yi Ren · Chen Zhang · shuicheng YAN
[ OpenReview
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Effective Self-supervised Pre-training on Low-compute Networks without Distillation
Fuwen Tan · Fatemeh Sadat Saleh · Brais Martinez
[ Poster [ OpenReview
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Composing Task Knowledge With Modular Successor Feature Approximators
Wilka Carvalho · Angelos Filos · Richard Lewis · Honglak Lee · Satinder Singh
[ OpenReview
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Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng · Koven Yu · Jiajun Wu · Bo Zhu
[ OpenReview
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Computing all Optimal Partial Transports
Abhijeet Phatak · Sharath Raghvendra · CHITTARANJAN TRIPATHY · Kaiyi Zhang
[ OpenReview
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Learning Hierarchical Protein Representations via Complete 3D Graph Networks
Limei Wang · Haoran Liu · Yi Liu · Jerry Kurtin · Shuiwang Ji
[ OpenReview
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gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang · Molei Tao · Yongxin Chen
[ OpenReview
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Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang · Yongxin Chen
[ OpenReview
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Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou · Chenyu Lian · Liansheng Wang · Yizhou Yu
[ Poster [ OpenReview
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Interactive Portrait Harmonization
Jeya Maria Jose Valanarasu · HE Zhang · Jianming Zhang · Yilin Wang · Zhe Lin · Jose Echevarria · Yinglan Ma · Zijun Wei · Kalyan Sunkavalli · Vishal Patel
[ Poster [ OpenReview
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AIM: Adapting Image Models for Efficient Video Action Recognition
Taojiannan Yang · Yi Zhu · Yusheng Xie · Aston Zhang · Chen Chen · Mu Li
[ Poster [ OpenReview
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Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
Jing Zhou · Zongyu Lin · Yanan Zheng · Jian Li · Zhilin Yang
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Dilated convolution with learnable spacings
Ismail Khalfaoui Hassani · Thomas Pellegrini · Timothée Masquelier
[ Slides [ Poster [ OpenReview
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Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Junyan Wang · Zhenhong Sun · Yichen Qian · Dong Gong · Xiuyu Sun · Ming Lin · Maurice Pagnucco · Yang Song
[ Poster [ OpenReview
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Formal Mathematics Statement Curriculum Learning
Stanislas Polu · Jesse Han · Kunhao Zheng · Mantas Baksys · Igor Babuschkin · Ilya Sutskever
[ OpenReview
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Subsampling in Large Graphs Using Ricci Curvature
Shushan Wu · Huimin Cheng · Jiazhang Cai · Ping Ma · Wenxuan Zhong
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Learning Fair Graph Representations via Automated Data Augmentations
Hongyi Ling · Zhimeng Jiang · Youzhi Luo · Shuiwang Ji · Na Zou
[ OpenReview
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UL2: Unifying Language Learning Paradigms
Yi Tay · Mostafa Dehghani · Vinh Tran · Xavier Garcia · Jason Wei · Xuezhi Wang · Hyung Won Chung · Dara Bahri · Tal Schuster · Huaixiu Steven Zheng · Denny Zhou · Neil Houlsby · Donald Metzler
[ OpenReview
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STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
Danilo Neves Ribeiro · Shen Wang · Xiaofei Ma · Henghui Zhu · Rui Dong · Deguang Kong · Juliette Burger · Anjelica Ramos · zhiheng huang · William Wang · George Karypis · Bing Xiang · Dan Roth
[ OpenReview
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Toeplitz Neural Network for Sequence Modeling
Qin Zhen · Xiaodong Han · Weixuan Sun · Bowen He · Dong Li · Dongxu Li · Yuchao Dai · Lingpeng Kong · Yiran Zhong
[ OpenReview
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Improved Convergence of Differential Private SGD with Gradient Clipping
Huang Fang · Xiaoyun Li · Chenglin Fan · Ping Li
[ OpenReview
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SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo · Yiming Li · Xun Chen · Hanqing Guo · Lichao Sun · Cong Liu
[ Slides [ Poster [ OpenReview
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A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou · Qi-Wei Wang · Han-Jia Ye · De-Chuan Zhan
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SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
Matko Bošnjak · Pierre Richemond · Nenad Tomasev · Florian Strub · Jacob C Walker · Felix Hill · Lars Buesing · Razvan Pascanu · Charles Blundell · Jovana Mitrovic
[ OpenReview
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Distributionally Robust Recourse Action
Duy Nguyen · Ngoc Bui · Viet Anh Nguyen
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Bidirectional Propagation for Cross-Modal 3D Object Detection
Yifan Zhang · Qijian Zhang · Junhui Hou · Yixuan Yuan · Guoliang Xing
[ Poster [ OpenReview
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On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
Jianhong Bai · Zuozhu Liu · Hualiang Wang · Jin Hao · YANG FENG · Huanpeng Chu · Haoji Hu
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PatchDCT: Patch Refinement for High Quality Instance Segmentation
Qinrou Wen · Jirui Yang · Xue Yang · Kewei Liang
[ OpenReview
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SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
Jingdong Zhang · Qunxi Zhu · Wei Yang · Wei Lin
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Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Michael Yao · Yikai Zhang · Songzhu Zheng · Mayank Goswami · Prateek Prasanna · Chao Chen
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DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
Jiaxing Wang · Yong Li · Jingwei Zhuo · Xupeng Shi · WEIZHONG ZHANG · Lixing Gong · Tong Tao · pengzhang liu · Yongjun Bao · Weipeng Yan
[ Poster [ OpenReview
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Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
Moritz Thürlemann · Sereina Riniker
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HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Shijie Geng · Jianbo Yuan · Yu Tian · Yuxiao Chen · Yongfeng Zhang
[ OpenReview
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Learning Rationalizable Equilibria in Multiplayer Games
Yuanhao Wang · Dingwen Kong · Yu Bai · Chi Jin
[ Poster [ OpenReview
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Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
Kaixin Wang · Kuangqi Zhou · Bingyi Kang · Jiashi Feng · shuicheng YAN
[ Poster [ OpenReview
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Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
Shahana Ibrahim · Tri Nguyen · Xiao Fu
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Systematic Rectification of Language Models via Dead-end Analysis
Meng Cao · Mehdi Fatemi · Jackie Chi Kit Cheung · Samira Shabanian
[ Poster [ OpenReview
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Agnostic Learning of General ReLU Activation Using Gradient Descent
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
[ Poster [ OpenReview
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Latent Variable Representation for Reinforcement Learning
Tongzheng Ren · Chenjun Xiao · Tianjun Zhang · Na Li · Zhaoran Wang · sujay sanghavi · Dale Schuurmans · Bo Dai
[ OpenReview
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Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu · Dimitris Samaras · Chao Chen
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Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren · Tianjun Zhang · Lisa Lee · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
[ OpenReview
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Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
Linbo Liu · Youngsuk Park · Nghia Hoang · Hilaf Hasson · Jun Huan
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Solving Continuous Control via Q-learning
Tim Seyde · Peter Werner · Wilko Schwarting · Igor Gilitschenski · Martin Riedmiller · Daniela Rus · Markus Wulfmeier
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Mutual Partial Label Learning with Competitive Label Noise
Yan Yan · Yuhong Guo
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Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
Yan Yan · Yuhong Guo
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Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma
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Implicit Regularization for Group Sparsity
Jiangyuan Li · THANH NGUYEN · Chinmay Hegde · Raymond K. W. Wong
[ OpenReview
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Tailoring Language Generation Models under Total Variation Distance
Haozhe Ji · Pei Ke · Zhipeng Hu · Rongsheng Zhang · Minlie Huang
[ Poster [ OpenReview
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PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
Xuan Li · Yi-Ling Qiao · Peter Yichen Chen · Krishna Murthy Jatavallabhula · Ming Lin · Chenfanfu Jiang · Chuang Gan
[ Poster [ OpenReview
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Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
Lingshen He · Yuxuan Chen · Zhengyang Shen · Yibo Yang · Zhouchen Lin
[ OpenReview
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Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
Filipe Belbute-Peres · Zico Kolter
[ OpenReview
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EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Steeven Janny · Aurélien Bénéteau · Madiha Nadri · Julie Digne · Nicolas THOME · Christian Wolf
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A View From Somewhere: Human-Centric Face Representations
Jerone Andrews · Przemyslaw Joniak · Alice Xiang
[ Poster [ OpenReview
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PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen · Xiao Wang · Soravit Changpinyo · AJ Piergiovanni · Piotr Padlewski · Daniel Salz · Sebastian Goodman · Adam Grycner · Basil Mustafa · Lucas Beyer · Alexander Kolesnikov · Joan Puigcerver · Nan Ding · Keran Rong · Hassan Akbari · Gaurav Mishra · Linting Xue · Ashish V. Thapliyal · James Bradbury · Weicheng Kuo · Mojtaba Seyedhosseini · Chao Jia · Burcu Karagol Ayan · Carlos Riquelme · Andreas Steiner · Anelia Angelova · Xiaohua Zhai · Neil Houlsby · Radu Soricut
[ OpenReview
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Scenario-based Question Answering with Interacting Contextual Properties
Haitian Sun · William Cohen · Ruslan Salakhutdinov
[ OpenReview
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Contextual Convolutional Networks
Shuxian Liang · Xu Shen · Tongliang Liu · Xian-Sheng Hua
[ OpenReview
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TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
Jintai Chen · KuanLun Liao · Yanwen Fang · Danny Chen · Jian Wu
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Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
Han Guo · Philip Greengard · Hongyi Wang · Andrew Gelman · Yoon Kim · Eric Xing
[ OpenReview
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MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
Dacheng Li · Hongyi Wang · Rulin Shao · Han Guo · Eric Xing · Hao Zhang
[ OpenReview
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Building Normalizing Flows with Stochastic Interpolants
Michael Albergo · Eric Vanden-Eijnden
[ OpenReview
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Towards Addressing Label Skews in One-Shot Federated Learning
Yiqun Diao · Qinbin Li · Bingsheng He
[ Slides [ Poster [ OpenReview
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Re-parameterizing Your Optimizers rather than Architectures
Xiaohan Ding · Honghao Chen · Xiangyu Zhang · Kaiqi Huang · Jungong Han · Guiguang Ding
[ Poster [ OpenReview
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LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
Yuan Yang · Faramarz Fekri · James Kerce · Ali Payani
[ Poster [ OpenReview
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Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
Yucheng Lu · Conglong Li · Minjia Zhang · Christopher De Sa · Yuxiong He
[ Poster [ OpenReview
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Test-Time Robust Personalization for Federated Learning
Liangze Jiang · Tao Lin
[ OpenReview
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Provable Robustness against Wasserstein Distribution Shifts via Input Randomization
Aounon Kumar · Alexander Levine · Tom Goldstein · Soheil Feizi
[ Poster [ OpenReview
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Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
Hong-Yu Zhou · Yunxiang Fu · Zhicheng Zhang · Bian Cheng · Yizhou Yu
[ Poster [ OpenReview
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On the Performance of Temporal Difference Learning With Neural Networks
Haoxing Tian · Ioannis Paschalidis · Alex Olshevsky
[ Poster [ OpenReview
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Graph Domain Adaptation via Theory-Grounded Spectral Regularization
Yuning You · Tianlong Chen · Zhangyang Wang · Yang Shen
[ Poster [ OpenReview
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Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
Miao Lu · Yifei Min · Zhaoran Wang · Zhuoran Yang
[ OpenReview
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Transfer Learning with Deep Tabular Models
Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum
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Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
Zhengrui Ma · Chenze Shao · Shangtong Gui · Min Zhang · Yang Feng
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Differentially Private Adaptive Optimization with Delayed Preconditioners
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
[ OpenReview
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Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin
[ Poster [ OpenReview
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Provably Efficient Lifelong Reinforcement Learning with Linear Representation
Sanae Amani · Lin Yang · Ching-An Cheng
[ Poster [ OpenReview
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Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
XIANGYU PENG · Chen Xing · Prafulla Kumar Choubey · Chien-Sheng Wu · Caiming Xiong
[ OpenReview
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Learnable Graph Convolutional Attention Networks
Adrián Javaloy · Pablo Sanchez Martin · Amit Levi · Isabel Valera
[ OpenReview
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On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
Sicong Liu · Xi Zhang · Yushuo Li · Yifan Zhang · Jian Cheng
[ Poster [ OpenReview
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Unbiased Supervised Contrastive Learning
Carlo Alberto Barbano · Benoit Dufumier · Enzo Tartaglione · Marco Grangetto · Pietro Gori
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MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Huiqiang Wang · Jian Peng · Feihu Huang · Jince Wang · Junhui Chen · Yifei Xiao
[ OpenReview
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HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Chen Liang · Haoming Jiang · Zheng Li · Xianfeng Tang · Bing Yin · Tuo Zhao
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Behavior Prior Representation learning for Offline Reinforcement Learning
Hongyu Zang · Xin Li · Jie Yu · Chen Liu · Riashat Islam · Remi Tachet des Combes · Romain Laroche
[ Poster [ OpenReview
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Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang · Junyu Liu · Tongliang Liu · Yong Luo · Yuxuan Du · Dacheng Tao
[ OpenReview
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Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo · Zhuoxiao Chen · Zijian Wang · Xin Yu · Zi Huang · Mahsa Baktashmotlagh
[ Poster [ OpenReview
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A Theory of Dynamic Benchmarks
Ali Shirali · Rediet Abebe · Moritz Hardt
[ OpenReview
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GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng · George Dasoulas · Huan He · Chirag Agarwal · Marinka Zitnik
[ OpenReview
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Novel View Synthesis with Diffusion Models
Daniel Watson · William Chan · Ricardo Martin Brualla · Jonathan Ho · Andrea Tagliasacchi · Mohammad Norouzi
[ OpenReview
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Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Ruicheng Ao · Shicong Cen · Yuejie Chi
[ Poster [ OpenReview
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Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
Haoye Lu · Daniel Herman · Yaoliang Yu
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Can We Find Nash Equilibria at a Linear Rate in Markov Games?
Zhuoqing Song · Jason Lee · Zhuoran Yang
[ OpenReview
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Learning Structured Representations by Embedding Class Hierarchy
Siqi Zeng · Remi Tachet des Combes · Han Zhao
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Characteristic Neural Ordinary Differential Equation
XINGZI XU · Ali Hasan · Khalil Elkhalil · Jie Ding · VAHID TAROKH
[ OpenReview
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Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Ziqi Wang · Yuexin Wu · Frederick Liu · Daogao Liu · Le Hou · Hongkun Yu · Jing Li · Heng Ji
[ Poster [ OpenReview
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Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu · Yu-Xiong Wang · Liangyan Gui
[ OpenReview
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Behavior Proximal Policy Optimization
Zifeng Zhuang · Kun LEI · Jinxin Liu · Donglin Wang · Yilang Guo
[ Poster [ OpenReview
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FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong · Hao He · Zhaolin Ren · Na Li · Quanzheng Li
[ Poster [ OpenReview
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FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang · Guanhong Tao · Qiuling Xu · Siyuan Cheng · Shengwei An · Yingqi Liu · Shiwei Feng · Guangyu Shen · Pin-Yu Chen · Shiqing Ma · Xiangyu Zhang
[ OpenReview
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Variational Latent Branching Model for Off-Policy Evaluation
Qitong Gao · Ge Gao · Min Chi · Miroslav Pajic
[ Poster [ OpenReview
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3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan · Wesley Qian · Xingang Peng · Yufeng Su · Jian Peng · Jianzhu Ma
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None
Transformer-based model for symbolic regression via joint supervised learning
Wenqiang Li · Weijun Li · Linjun Sun · Min Wu · Lina Yu · Jingyi Liu · Yanjie Li · Songsong Tian
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Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
Zebang Shen · Jiayuan Ye · Anmin Kang · Hamed Hassani · Reza Shokri
[ OpenReview
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Distributionally Robust Post-hoc Classifiers under Prior Shifts
Jiaheng Wei · Harikrishna Narasimhan · Ehsan Amid · Wen-Sheng Chu · Yang Liu · Abhishek Kumar
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Feature selection and low test error in shallow low-rotation ReLU networks
Matus Telgarsky
[ OpenReview
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BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee · Wei Ping · Boris Ginsburg · Bryan Catanzaro · Sungroh Yoon
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ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
Guihong Li · Yuedong Yang · Kartikeya Bhardwaj · Radu Marculescu
[ OpenReview
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Decision S4: Efficient Sequence-Based RL via State Spaces Layers
Shmuel Bar David · Itamar Zimerman · Eliya Nachmani · Lior Wolf
[ Poster [ OpenReview
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Masked Image Modeling with Denoising Contrast
Kun Yi · Yixiao Ge · Xiaotong Li · Shusheng Yang · Dian Li · Jianping Wu · Ying Shan · Xiaohu Qie
[ OpenReview
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Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Mingxu Tao · Yansong Feng · Dongyan Zhao
[ OpenReview
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How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
Yiwen Kou · Zixiang Chen · Yuan Cao · Quanquan Gu
[ OpenReview
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Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
Spencer Frei · Gal Vardi · Peter Bartlett · Nathan Srebro · Wei Hu
[ Poster [ OpenReview
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@ MH1-2-3-4 None
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson · David Wingate
[ OpenReview
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Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal · Mark Goldstein · Rajesh Ranganath
[ OpenReview
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Regression with Label Differential Privacy
Badih Ghazi · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Avinash Varadarajan · Chiyuan Zhang
[ Poster [ OpenReview
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None
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
Ming Zhang · Shenghan Zhang · Zhenjie Yang · Lekai Chen · Jinliang Zheng · yang chao · Chuming Li · Hang Zhou · Yazhe Niu · Yu Liu
[ Poster [ OpenReview
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Planning with Large Language Models for Code Generation
Shun Zhang · Zhenfang Chen · Yikang Shen · Mingyu Ding · Joshua B Tenenbaum · Chuang Gan
[ OpenReview
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A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
Jiajin Li · Jianheng Tang · Lemin Kong · Huikang Liu · Jia Li · Anthony So · Jose Blanchet
[ OpenReview
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On Representing Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
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Coupled Multiwavelet Operator Learning for Coupled Differential Equations
Xiongye Xiao · Defu Cao · Ruochen Yang · Gaurav Gupta · Gengshuo Liu · Chenzhong Yin · Radu Balan · Paul Bogdan
[ Poster [ OpenReview
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TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong · Yuan Yang · Faramarz Fekri · James Kerce
[ Poster [ OpenReview
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Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong · Wei Chen
[ Poster [ OpenReview
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None
TrojText: Test-time Invisible Textual Trojan Insertion
Qian Lou · Yepeng Liu · Bo Feng
[ OpenReview
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Transferable Unlearnable Examples
Jie Ren · Han Xu · Yuxuan Wan · Xingjun Ma · Lichao Sun · Jiliang Tang
[ Poster [ OpenReview
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Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Bhat · Bahram Yoosefizonooz · Elahe Arani
[ Poster [ OpenReview
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None
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
Xiaoqi Wang · Han Wei Shen
[ Poster [ OpenReview
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Retrieval-based Controllable Molecule Generation
Jack Wang · Weili Nie · Zhuoran Qiao · Chaowei Xiao · Richard Baraniuk · anima anandkumar
[ Poster [ OpenReview
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None
STaSy: Score-based Tabular data Synthesis
Jayoung Kim · Chaejeong Lee · Noseong Park
[ OpenReview
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None
What Makes Convolutional Models Great on Long Sequence Modeling?
Yuhong Li · Tianle Cai · Yi Zhang · Deming Chen · Debadeepta Dey
[ OpenReview
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Learning Multimodal Data Augmentation in Feature Space
Zichang Liu · Zhiqiang Tang · Xingjian Shi · Aston Zhang · Mu Li · Anshumali Shrivastava · Andrew Wilson
[ OpenReview
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None
Neural Systematic Binder
Gautam Singh · Yeongbin Kim · Sungjin Ahn
[ Poster [ OpenReview
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Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
Tianyu Zhao · Xiang Pan · Minghua Chen · Steven Low
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NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen · Kaiyuan Gao · Gaichao Li · Kun He
[ Poster [ OpenReview
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Learning Human-Compatible Representations for Case-Based Decision Support
Han Liu · Yizhou Tian · Chacha Chen · Shi Feng · Yuxin Chen · Chenhao Tan
[ Slides [ OpenReview
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None
Masked Unsupervised Self-training for Label-free Image Classification
Junnan Li · Silvio Savarese · Steven Hoi
[ Poster [ OpenReview
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None
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
Huancheng Chen · Chaining Wang · Haris Vikalo
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Semi-supervised learning with a principled likelihood from a generative model of data curation
Stoil Ganev · Laurence Aitchison
[ OpenReview
Virtual presentation / poster accept
None
SCoMoE: Efficient Mixtures of Experts with Structured Communication
zhiyuan zeng · Deyi Xiong
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Learning the Positions in CountSketch
Yi Li · Honghao Lin · Simin Liu · Ali Vakilian · David Woodruff
[ OpenReview
Virtual presentation / top 5% paper
None
The Role of Coverage in Online Reinforcement Learning
Tengyang Xie · Dylan Foster · Yu Bai · Nan Jiang · Sham Kakade
[ OpenReview
Virtual presentation / poster accept
None
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang · Aaron Chan · Filip Ilievski · Muhao Chen · Xiang Ren
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
GEASS: Neural causal feature selection for high-dimensional biological data
Mingze Dong · Yuval Kluger
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Deep Ensembles for Graphs with Higher-order Dependencies
Steven Krieg · William Burgis · Patrick Soga · Nitesh Chawla
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
Sheng Li · Geng Yuan · Yue Dai · Youtao Zhang · Yanzhi Wang · Xulong Tang
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
Lu Han · Han-Jia Ye · De-Chuan Zhan
[ Poster [ OpenReview
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None
Neural Bregman Divergences for Distance Learning
Fred Lu · Edward Raff · Francis Ferraro
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Compositional Task Representations for Large Language Models
NAN SHAO · Zefan Cai · Hanwei Xu · Chonghua Liao · Yanan Zheng · Zhilin Yang
[ Poster [ OpenReview
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None
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen
[ Slides [ OpenReview
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None
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das · Yongxin Yang · Timothy Hospedales · Tao Xiang · Yi-Zhe Song
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Ren · Jiaming Luo · Yao Zhao · Kundan Krishna · Mohammad Saleh · Balaji Lakshminarayanan · Peter Liu
[ Slides [ Poster [ OpenReview
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None
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li · Yiwen Guo · Wangmeng Zuo · Hao Chen
[ OpenReview
Virtual presentation / poster accept
None
Globally Optimal Training of Neural Networks with Threshold Activation Functions
Tolga Ergen · Halil Gulluk · Jonathan Lacotte · Mert Pilanci
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
Zhou Xian · Bo Zhu · Zhenjia Xu · Hsiao-Yu Tung · Antonio Torralba · Katerina Fragkiadaki · Chuang Gan
[ OpenReview
Virtual presentation / poster accept
None
Federated Neural Bandits
Zhongxiang Dai · Yao Shu · Arun Verma · Flint Xiaofeng Fan · Bryan Kian Hsiang Low · Patrick Jaillet
[ OpenReview
Virtual presentation / poster accept
None
Analogy-Forming Transformers for Few-Shot 3D Parsing
Nikolaos Gkanatsios · Mayank Singh · Zhaoyuan Fang · Shubham Tulsiani · Katerina Fragkiadaki
[ Poster [ OpenReview
Virtual presentation / poster accept
None
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Vy Vo · Van Nguyen · Trung Le · Quan Tran · Reza Haffari · Seyit Camtepe · Dinh Phung
[ OpenReview
Virtual presentation / poster accept
None
Reparameterization through Spatial Gradient Scaling
Alexander Detkov · Mohammad Salameh · Muhammad Fetrat Qharabagh · Jialin Zhang · Wei Lu · SHANGLING JUI · Di Niu
[ OpenReview
Virtual presentation / poster accept
None
Quality-Similar Diversity via Population Based Reinforcement Learning
Shuang Wu · Jian Yao · Haobo Fu · Ye Tian · Chao Qian · Yaodong Yang · QIANG FU · Yang Wei
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He · Kaiwen Zha · Dina Katabi
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
None
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
Bing WANG · Lu Chen · Bo Yang
[ OpenReview
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None
Gray-Box Gaussian Processes for Automated Reinforcement Learning
Gresa Shala · André Biedenkapp · Frank Hutter · Josif Grabocka
[ OpenReview
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None
Interpretability with full complexity by constraining feature information
Kieran Murphy · Danielle Bassett
[ OpenReview
Virtual presentation / poster accept
None
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
Ruiquan Huang · Jing Yang · Yingbin Liang
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen · Yu Bai · Song Mei
[ OpenReview
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None
Pruning Deep Neural Networks from a Sparsity Perspective
Enmao Diao · Ganghua Wang · Jiawei Zhang · Yuhong Yang · Jie Ding · VAHID TAROKH
[ Poster [ OpenReview
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None
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
Gang Li · Yang Li
[ OpenReview
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None
Dual Student Networks for Data-Free Model Stealing
James Beetham · Navid Kardan · Ajmal Mian · Mubarak Shah
[ OpenReview
Virtual presentation / poster accept
None
Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
Clare Heinbaugh · Emilio Luz-Ricca · Huajie Shao
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Mosaic Representation Learning for Self-supervised Visual Pre-training
Zhaoqing Wang · Ziyu Chen · Yaqian Li · Yandong Guo · Jun Yu · Mingming Gong · Tongliang Liu
[ Poster [ OpenReview
Virtual presentation / poster accept
None
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
Beren Millidge · Yuhang Song · Tommaso Salvatori · Thomas Lukasiewicz · Rafal Bogacz
[ OpenReview
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None
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma · Lingjun Guo · Salar Fattahi
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu
[ Poster [ OpenReview
Virtual presentation / poster accept
None
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie · Nam Nguyen · Phanwadee Sinthong · Jayant Kalagnanam
[ Poster [ OpenReview
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None
Random Laplacian Features for Learning with Hyperbolic Space
Tao Yu · Christopher De Sa
[ OpenReview
Virtual presentation / poster accept
None
Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay
Hongming Zhang · Chenjun Xiao · Han Wang · Jun Jin · bo xu · Martin Mueller
[ Poster [ OpenReview
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None
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
Griffin Floto · Stefan Kremer · Mihai Nica
[ OpenReview
Virtual presentation / top 5% paper
None
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
Jinhyung Park · Chenfeng Xu · Shijia Yang · Kurt Keutzer · Kris Kitani · Masayoshi Tomizuka · Wei Zhan
[ OpenReview
Virtual presentation / poster accept
None
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
yu liu · Mingbo Zhao · Zhao Zhang · Jicong Fan · Yang Lou · shuicheng YAN
[ Poster [ OpenReview
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None
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Huan LEI · Ruitao Leng · Liang Zheng · Hongdong Li
[ Poster [ OpenReview
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None
Robust Graph Dictionary Learning
Weijie Liu · Jiahao Xie · Chao Zhang · Makoto Yamada · Nenggan Zheng · Hui Qian
[ OpenReview
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None
Learning Harmonic Molecular Representations on Riemannian Manifold
Yiqun Wang · Yuning Shen · Shi Chen · Lihao Wang · Fei YE · Hao Zhou
[ Poster [ OpenReview
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None
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Shicong Cen · Yuejie Chi · Simon Du · Lin Xiao
[ OpenReview
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None
Learning Language Representations with Logical Inductive Bias
Jianshu Chen
[ OpenReview
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None
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
Elias Frantar · Saleh Ashkboos · Torsten Hoefler · Dan Alistarh
[ OpenReview
Virtual presentation / poster accept
None
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
Kefan Dong · Tengyu Ma
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Concept-level Debugging of Part-Prototype Networks
Andrea Bontempelli · Stefano Teso · Katya Tentori · Fausto Giunchiglia · Andrea Passerini
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp · Bo Pang · Hiroaki Hayashi · Lifu Tu · Huan Wang · Yingbo Zhou · Silvio Savarese · Caiming Xiong
[ OpenReview
Virtual presentation / poster accept
None
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
Mingu Lee · Saurabh Pitre · Tianyu Jiang · Pierre-David Letourneau · Matthew Morse · Kanghwan Jang · Joseph Soriaga · Parham Noorzad · Hsin-Pai Cheng · Christopher Lott
[ OpenReview
Virtual presentation / poster accept
None
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
Yingzhen Yang · Ping Li
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han · Yaru Hao · Li Dong · Yutao Sun · Furu Wei
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Serving Graph Compression for Graph Neural Networks
Si Si · Felix Yu · Ankit Singh Rawat · Cho-Jui Hsieh · Sanjiv Kumar
[ OpenReview
Virtual presentation / top 25% paper
None
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Out-of-distribution Representation Learning for Time Series Classification
Wang Lu · Jindong Wang · Xinwei Sun · Yiqiang Chen · Xing Xie
[ Poster [ OpenReview
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None
Calibrating the Rigged Lottery: Making All Tickets Reliable
Bowen Lei · Ruqi Zhang · Dongkuan Xu · Bani Mallick
[ Poster [ OpenReview
Virtual presentation / poster accept
None
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
Angtian Wang · Peng Wang · Jian Sun · Adam Kortylewski · Alan Yuille
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Contrastive Audio-Visual Masked Autoencoder
Yuan Gong · Andrew Rouditchenko · Alexander Liu · David Harwath · Leonid Karlinsky · Hilde Kuehne · James R Glass
[ Poster [ OpenReview
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None
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
Fengda Zhang · Kun Kuang · Long Chen · Yuxuan Liu · Chao Wu · Jun Xiao
[ Poster [ OpenReview
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None
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
Namjoon Suh · Tian-Yi Zhou · Xiaoming Huo
[ Slides [ OpenReview
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None
EV-GAN: Simulation of extreme events with ReLU neural networks
Michaël Allouche · Stéphane Girard · Emmanuel Gobet
[ JMLR
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None
Statistical Guarantees for Consensus Clustering
Zhixin Zhou · Gautam Dudeja · Arash Amini
[ Poster [ OpenReview
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None
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
Rui Wang · Yihe Dong · Sercan Arik · Rose Yu
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
Xinqiang Cai · Yao-Xiang Ding · Zixuan Chen · Yuan Jiang · Masashi Sugiyama · Zhi-Hua Zhou
[ OpenReview
Virtual presentation / top 25% paper
None
Humanly Certifying Superhuman Classifiers
Qiongkai Xu · Christian Walder · Chenchen Xu
[ OpenReview
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None
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Yong Zhong · Hongtao Liu · Xiaodong Liu · Fan Bao · Weiran Shen · Chongxuan Li
[ Slides [ Poster [ OpenReview
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None
Sampling with Mollified Interaction Energy Descent
Lingxiao Li · Qiang Liu · Anna Korba · Mikhail Yurochkin · Justin Solomon
[ Poster [ OpenReview
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None
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie · Ziqiao Xu · Jiaqi Ma · Qiaozhu Mei
[ Poster [ OpenReview
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None
In-sample Actor Critic for Offline Reinforcement Learning
Hongchang Zhang · Yixiu Mao · Boyuan Wang · Shuncheng He · Yi Xu · Xiangyang Ji
[ OpenReview
Virtual presentation / poster accept
None
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
Xuyang Zhao · Tianqi Du · Yisen Wang · Jun Yao · Weiran Huang
[ OpenReview
Virtual presentation / top 25% paper
None
Semi-Implicit Variational Inference via Score Matching
Longlin Yu · Cheng Zhang
[ OpenReview
Virtual presentation / top 25% paper
None
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
Arnab Mondal · Piyush Tiwary · Parag Singla · Prathosh AP
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Learning rigid dynamics with face interaction graph networks
Kelsey Allen · Yulia Rubanova · Tatiana Lopez-Guevara · William Whitney · Alvaro Sanchez Gonzalez · Peter Battaglia · Tobias Pfaff
[ OpenReview
Virtual presentation / poster accept
None
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Konstantinos Nikolakakis · Farzin Haddadpour · Amin Karbasi · Dionysios Kalogerias
[ Poster [ OpenReview
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None
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang · Mingyang Yi · Xuyang Zhao · Zihao Jiang
[ OpenReview
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None
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
Yuepeng Yang · Cong Ma
[ OpenReview
Virtual presentation / poster accept
None
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Liwei Wang · Tong Zhang
[ OpenReview
Virtual presentation / poster accept
None
DensePure: Understanding Diffusion Models for Adversarial Robustness
Chaowei Xiao · Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · anima anandkumar · Bo Li · Dawn Song
[ OpenReview
Virtual presentation / top 25% paper
None
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian · Yi Jiang · qishuai diao · Chen Lin · Liwei Wang · Zehuan Yuan
[ Slides [ Poster [ OpenReview
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None
Budgeted Training for Vision Transformer
Zhuofan Xia · Xuran Pan · Xuan Jin · Yuan He · Hui Xue' · Shiji Song · Gao Huang
[ Slides [ Poster [ OpenReview
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None
Sequential Gradient Coding For Straggler Mitigation
Nikhil Krishnan Muralee Krishnan · MohammadReza Ebrahimi · Ashish Khisti
[ OpenReview
Virtual presentation / poster accept
None
TempCLR: Temporal Alignment Representation with Contrastive Learning
Yuncong Yang · Jiawei Ma · Shiyuan Huang · Long Chen · Xudong Lin · Guangxing Han · Shih-Fu Chang
[ Slides [ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad · Hanlin Zhu · Kunhe Yang · Stuart Russell · Jiantao Jiao
[ OpenReview
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None
Equivariant Hypergraph Diffusion Neural Operators
Peihao Wang · Shenghao Yang · Yunyu Liu · Zhangyang Wang · Pan Li
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Learning to Grow Pretrained Models for Efficient Transformer Training
Peihao Wang · Rameswar Panda · Lucas Torroba Hennigen · Philip Greengard · Leonid Karlinsky · Rogerio Feris · David Cox · Zhangyang Wang · Yoon Kim
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Shunyu Zhang · Yaobo Liang · MING GONG · Daxin Jiang · Nan Duan
[ OpenReview
Virtual presentation / poster accept
None
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
Zhiwen Fan · Peihao Wang · Yifan Jiang · Xinyu Gong · Dejia Xu · Zhangyang Wang
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Function-space regularized Rényi divergences
Jeremiah Birrell · Yannis Pantazis · Paul Dupuis · Luc Rey-Bellet · Markos Katsoulakis
[ Poster [ OpenReview
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None
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Sizhe Li · Zhiao Huang · Tao Chen · Tao Du · Hao Su · Joshua B Tenenbaum · Chuang Gan
[ Slides [ OpenReview
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None
Effective passive membership inference attacks in federated learning against overparameterized models
Jiacheng Li · Ninghui Li · Bruno Ribeiro
[ Poster [ OpenReview
Virtual presentation / poster accept
None
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang · Guanchu Wang · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
[ OpenReview
Virtual presentation / poster accept
None
Spatio-temporal point processes with deep non-stationary kernels
Zheng Dong · Xiuyuan Cheng · Yao Xie
[ OpenReview
Virtual presentation / poster accept
None
Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
Xiaobo Xia · Jiale Liu · Jun Yu · Xu Shen · Bo Han · Tongliang Liu
[ OpenReview
Virtual presentation / poster accept
None
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Zhuo Huang · Xiaobo Xia · Li Shen · Bo Han · Mingming Gong · Chen Gong · Tongliang Liu
[ Slides [ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Using Language to Extend to Unseen Domains
Lisa Dunlap · Clara Mohri · Devin Guillory · Han Zhang · trevor darrell · Joseph E Gonzalez · Aditi Raghunathan · Anna Rohrbach
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
LIN Yong · Renjie Pi · WEIZHONG ZHANG · Xiaobo Xia · JIAHUI GAO · Xiao Zhou · Tongliang Liu · Bo Han
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
Xiaosong Zhang · Yunjie Tian · Lingxi Xie · Wei Huang · Qi Dai · Qixiang Ye · Qi Tian
[ OpenReview
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None
Logical Message Passing Networks with One-hop Inference on Atomic Formulas
Zihao Wang · Yangqiu Song · Ginny Wong · Simon See
[ Poster [ OpenReview
Virtual presentation / top 5% paper
None
Transformers Learn Shortcuts to Automata
Bingbin Liu · Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Cyril Zhang
[ Slides [ Poster [ OpenReview
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None
Noise-Robust De-Duplication at Scale
Emily Silcock · Luca D'Amico-Wong · Jinglin Yang · Melissa Dell
[ OpenReview
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None
Pseudoinverse-Guided Diffusion Models for Inverse Problems
Jiaming Song · Arash Vahdat · Morteza Mardani · Jan Kautz
[ OpenReview
Virtual presentation / top 25% paper
None
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee · Jongheon Jeong · Sejun Park · Jinwoo Shin
[ Poster [ OpenReview
Virtual presentation / poster accept
None
BALTO: fast tensor program optimization with diversity-based active learning
Jun Bi · Xiaqing Li · Qi Guo · Rui Zhang · Yuanbo Wen · Xing Hu · Zidong Du · Xinkai Song · Yifan Hao · Yunji Chen
[ OpenReview
Virtual presentation / poster accept
None
Information Plane Analysis for Dropout Neural Networks
Linara Adilova · Bernhard C Geiger · Asja Fischer
[ Poster [ OpenReview
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None
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
Hyung Won Chung · Xavier Garcia · Adam Roberts · Yi Tay · Orhan Firat · SHARAN NARANG · Noah Constant
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Provable Memorization Capacity of Transformers
Junghwan Kim · Michelle Kim · Barzan Mozafari
[ OpenReview
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None
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
Chang Li · Dongjin Song · Dacheng Tao
[ Poster [ OpenReview
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None
Improved Learning-augmented Algorithms for k-means and k-medians Clustering
Thy Nguyen · Anamay Chaturvedi · Huy Nguyen
[ OpenReview
Virtual presentation / poster accept
None
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
Ronghang Zhu · Ronghang Zhu · Xiang Yu · Sheng Li
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Truthful Self-Play
Shohei Ohsawa
[ OpenReview
Virtual presentation / poster accept
None
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
Li Jin · Yaoming wang · XIAOPENG ZHANG · Yabo Chen · Dongsheng Jiang · Wenrui Dai · Chenglin Li · Hongkai Xiong · Qi Tian
[ Slides [ Poster [ OpenReview
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None
Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng · Yoshiyuki Kabashima
[ Slides [ Poster [ OpenReview
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None
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
Valerii Iakovlev · Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
[ OpenReview
Virtual presentation / poster accept
None
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
Jinhua Zhu · Kehan Wu · Bohan Wang · Yingce Xia · Shufang Xie · Qi Meng · Lijun Wu · Tao Qin · Wengang Zhou · Houqiang Li · Tie-Yan Liu
[ OpenReview
Virtual presentation / poster accept
None
Making Better Decision by Directly Planning in Continuous Control
Jinhua Zhu · Yue Wang · Lijun Wu · Tao Qin · Wengang Zhou · Tie-Yan Liu · Houqiang Li
[ OpenReview
Virtual presentation / poster accept
None
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng · Jiayao Zhang · Linjun Zhang · Ting Ye · Yates Coley · Weijie J Su · James Y Zou
[ OpenReview
Virtual presentation / top 25% paper
None
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
Thanh Nguyen-Tang · Raman Arora
[ Slides [ OpenReview
Virtual presentation / poster accept
None
Learning to Decompose Visual Features with Latent Textual Prompts
Feng Wang · Manling Li · Xudong Lin · Hairong Lv · Alex Schwing · Heng Ji
[ Poster [ OpenReview
Virtual presentation / poster accept
None
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
Zeyu Zhu · Fanrong Li · Zitao Mo · Qinghao Hu · Gang Li · Zejian Liu · Xiaoyao Liang · Jian Cheng
[ Poster [ OpenReview
Virtual presentation / poster accept
None
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
Xiaotong Yuan · Ping Li
[ Poster [ OpenReview
Virtual presentation / poster accept
None
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar · Pradeep Banerjee · Guido Montufar
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
None
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
Xuchuang Wang · Lin Yang · Yu-Zhen Janice Chen · Xutong Liu · Mohammad Hajiesmaili · Don Towsley · John C.S. Lui
[ Poster [ OpenReview
Virtual presentation / top 25% paper
None
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
Jun-Kun Wang · Andre Wibisono
[ OpenReview
Virtual presentation / top 25% paper
None
A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
Pankaj Agarwal · Sharath Raghvendra · Pouyan Shirzadian · Rachita Sowle
[ OpenReview
Virtual presentation / poster accept
None
Delving into Semantic Scale Imbalance
Yanbiao Ma · Licheng Jiao · Fang Liu · Yuxin Li · Shuyuan Yang · Xu Liu
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
None
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk · Tobias Leemann · Asia Biega · Gjergji Kasneci
[ OpenReview
Virtual presentation / poster accept
None
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
Yuzhong Zhao · Qiaoqiao Ding · Xiaoqun Zhang
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
None
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
Martin Pawelczyk · Teresa Datta · Johan Van den Heuvel · Gjergji Kasneci · Hima Lakkaraju
[ OpenReview
Virtual presentation / poster accept
None
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan · Karthik Valmeekam · Subbarao Kambhampati
[ Poster [ OpenReview
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None
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu · Shangyuan Tong · Tommi Jaakkola
[ Poster [ OpenReview
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None
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data
Hitesh Sapkota · Qi Yu
[ Poster [ OpenReview
Virtual presentation / poster accept
None
PAC Reinforcement Learning for Predictive State Representations
Wenhao Zhan · Masatoshi Uehara · Wen Sun · Jason Lee
[ OpenReview
Virtual presentation / top 25% paper
None
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity
Deniz Oktay · Mehran Mirramezani · Eder Medina · Ryan P Adams
[ OpenReview
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Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Ruijie Zheng · Xiyao Wang · Huazhe Xu · Furong Huang
[ Poster [ OpenReview
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Sequential Learning of Neural Networks for Prequential MDL
Jorg Bornschein · Yazhe Li · Marcus Hutter
[ OpenReview
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Evaluating Representations with Readout Model Switching
Yazhe Li · Jorg Bornschein · Marcus Hutter
[ Poster [ OpenReview
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Learning Proximal Operators to Discover Multiple Optima
Lingxiao Li · Noam Aigerman · Vladimir Kim · Jiajin Li · Kristjan Greenewald · Mikhail Yurochkin · Justin Solomon
[ Poster [ OpenReview
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Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
Zhongyuan Zhao · Ananthram Swami · Santiago Segarra
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Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
Erik Franz · Barbara Solenthaler · Nils Thuerey
[ Poster [ OpenReview
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Pseudo-label Training and Model Inertia in Neural Machine Translation
Benjamin Hsu · Anna Currey · Xing Niu · Maria Nadejde · georgiana dinu
[ OpenReview
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Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
Kai Xu · Georgi Ganev · Emile Joubert · Rees Davison · Olivier Van Acker · Luke Robinson
[ OpenReview
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Boosting Causal Discovery via Adaptive Sample Reweighting
An Zhang · fangfu Liu · Wenchang Ma · Zhibo Cai · Xiang Wang · Tat-Seng Chua
[ Poster [ OpenReview
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Understanding weight-magnitude hyperparameters in training binary networks
Joris Quist · Yunqiang Li · Jan Gemert
[ OpenReview
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MIMT: Masked Image Modeling Transformer for Video Compression
Jinxi Xiang · kuan tian · Jun Zhang
[ Poster [ OpenReview
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Copy is All You Need
Tian Lan · Deng Cai · Yan Wang · Heyan Huang · Xian-Ling Mao
[ Poster [ OpenReview
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Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
Yuandong Tian
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Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad · Gaurav Gupta · Shima Alizadeh · Danielle Maddix
[ Poster [ OpenReview
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LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
Tao Shen · Xiubo Geng · Chongyang Tao · Can Xu · Xiaolong Huang · Binxing Jiao · Linjun Yang · Daxin Jiang
[ OpenReview
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A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
Qingyu Han · Linxin Yang · Qian Chen · Xiang ZHOU · dong zhang · Akang Wang · Ruoyu Sun · Xiaodong Luo
[ Poster [ OpenReview
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On Explaining Neural Network Robustness with Activation Path
Ziping Jiang
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Recitation-Augmented Language Models
Zhiqing Sun · Xuezhi Wang · Yi Tay · Yiming Yang · Denny Zhou
[ OpenReview
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When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
Jianxiong Li · Xianyuan Zhan · Haoran Xu · Xiangyu Zhu · Jingjing Liu · Ya-Qin Zhang
[ OpenReview
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Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju · Tong Zhao · Qianlong Wen · Wenhao Yu · Neil Shah · Yanfang Ye · Chuxu Zhang
[ Poster [ OpenReview
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Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin · Tong Zhao · Jiayuan Ding · Yozen Liu · Jiliang Tang · Neil Shah
[ Poster [ OpenReview
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DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
wei li · Linchao Zhu · Longyin Wen · Yi Yang
[ OpenReview
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Stochastic No-regret Learning for General Games with Variance Reduction
Yichi Zhou · Fang Kong · Shuai Li
[ OpenReview
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Defending against Adversarial Audio via Diffusion Model
Shutong Wu · Jiongxiao Wang · Wei Ping · Weili Nie · Chaowei Xiao
[ Poster [ OpenReview
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Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
Haoyu Wang · Pan Li
[ Poster [ OpenReview
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Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
Heng Wang · Tan Yue · Xiang Ye · Zihang He · Bohan Li · Yong Li
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Improving the imputation of missing data with Markov Blanket discovery
Yang Liu · Anthony Constantinou
[ Poster [ OpenReview
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MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
Ziyuan Qin · Huahui Yi · Qicheng Lao · Kang Li
[ Poster [ OpenReview
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Fundamental Limits in Formal Verification of Message-Passing Neural Networks
Marco Sälzer · Martin Lange
[ OpenReview
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Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance
Yoonjeon Kim · Hyunsu Kim · Junho Kim · Yunjey Choi · Eunho Yang
[ Slides [ OpenReview
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InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried · Armen Aghajanyan · Jessy Lin · Sida Wang · Eric Wallace · Freda Shi · Ruiqi Zhong · Scott Yih · Luke Zettlemoyer · Mike Lewis
[ OpenReview
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Understanding Influence Functions and Datamodels via Harmonic Analysis
Nikunj Saunshi · Arushi Gupta · Mark Braverman · Sanjeev Arora
[ OpenReview
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A General Rank Preserving Framework for Asymmetric Image Retrieval
Hui Wu · Min Wang · Wengang Zhou · Houqiang Li
[ Poster [ OpenReview
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Score-based Continuous-time Discrete Diffusion Models
Haoran Sun · Lijun Yu · Bo Dai · Dale Schuurmans · Hanjun Dai
[ Poster [ OpenReview
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Any-scale Balanced Samplers for Discrete Space
Haoran Sun · Bo Dai · Charles Sutton · Dale Schuurmans · Hanjun Dai
[ Poster [ OpenReview
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Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
Ximing Li · Chendi Wang · Guang Cheng
[ OpenReview
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Order Matters: Agent-by-agent Policy Optimization
Xihuai Wang · Zheng Tian · Ziyu Wan · Ying Wen · Jun Wang · Weinan Zhang
[ Slides [ Poster [ OpenReview
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FastFill: Efficient Compatible Model Update
Florian Jaeckle · Fartash Faghri · Ali Farhadi · Oncel Tuzel · Hadi Pouransari
[ OpenReview
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AudioGen: Textually Guided Audio Generation
Felix Kreuk · Gabriel Synnaeve · Adam Polyak · Uriel Singer · Alexandre Défossez · Jade Copet · Devi Parikh · Yaniv Taigman · Yossi Adi
[ OpenReview
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PEER: A Collaborative Language Model
Timo Schick · Jane Dwivedi-Yu · Zhengbao Jiang · Fabio Petroni · Patrick Lewis · Gautier Izacard · Qingfei You · Christoforos Nalmpantis · Edouard Grave · Sebastian Riedel
[ OpenReview
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Parameter-Efficient Fine-Tuning Design Spaces
Jiaao Chen · Aston Zhang · Xingjian Shi · Mu Li · Alex Smola · Diyi Yang
[ OpenReview
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CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong · Weidong Cao · Muhan Zhang · Dacheng Tao · Yixin Chen · Xuan Zhang
[ Poster [ OpenReview
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Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
Yufei CUI · Ziquan Liu · Xiangyu Liu · Xue Liu · Cong Wang · Tei-Wei Kuo · Chun Jason Xue · Antoni Chan
[ OpenReview
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ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Wanqi Xue · Qingpeng Cai · Ruohan Zhan · Dong Zheng · Peng Jiang · Kun Gai · Bo An
[ Slides [ Poster [ OpenReview
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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae · Michael Zhang · Michael Ruan · Duanyang Wang · So Hasegawa · Jimmy Ba · Roger Grosse
[ OpenReview
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Image as Set of Points
Xu Ma · Yuqian Zhou · Huan Wang · Can Qin · Bin Sun · Chang Liu · Yun Fu
[ Poster [ OpenReview
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ISAAC Newton: Input-based Approximate Curvature for Newton's Method
Felix Petersen · Tobias Sutter · Christian Borgelt · Dongsung Huh · Hilde Kuehne · Yuekai Sun · Oliver Deussen
[ Poster [ OpenReview
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Sparse Mixture-of-Experts are Domain Generalizable Learners
Bo Li · Yifei Shen · Jingkang Yang · Yezhen Wang · Jiawei Ren · Tong Che · Jun Zhang · Ziwei Liu
[ OpenReview
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Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik · Francesco Pase · Deniz Gunduz · Tsachy Weissman · Michele Zorzi
[ OpenReview
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When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
Mert Yuksekgonul · Federico Bianchi · Ria Kalluri · Dan Jurafsky · James Y Zou
[ OpenReview
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Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
ZIKAI SUN · Thierry Blu
[ OpenReview
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MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
Emanuele Palumbo · Imant Daunhawer · Julia E Vogt
[ Poster [ OpenReview
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Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
Kei Sen Fong · Shelvia Wongso · Mehul Motani
[ Poster [ OpenReview
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Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui HU · Chuanxia Zheng · Zuopeng Yang · Tat-Jen Cham · Heliang Zheng · Chaoyue Wang · Dacheng Tao · Ponnuthurai Suganthan
[ Poster [ OpenReview
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Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
Joel Dapello · Kohitij Kar · Martin Schrimpf · Robert Geary · Michael Ferguson · David Cox · James DiCarlo
[ OpenReview
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Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su · Jiaming Song · Chenlin Meng · Stefano Ermon
[ OpenReview
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Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · alain rakotomamonjy · patrick gallinari
[ Slides [ Poster [ OpenReview
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Deterministic training of generative autoencoders using invertible layers
Gianluigi Silvestri · Daan Roos · Luca Ambrogioni
[ Poster [ OpenReview
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Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Zhong Yi Wan · Leonardo Zepeda-Nunez · Anudhyan Boral · Fei Sha
[ OpenReview
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Martingale Posterior Neural Processes
Hyungi Lee · Eunggu Yun · Giung Nam · Edwin Fong · Juho Lee
[ OpenReview
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Real-time variational method for learning neural trajectory and its dynamics
Matthew Dowling · Yuan Zhao · Il Memming Park
[ OpenReview
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Sparse Distributed Memory is a Continual Learner
Trenton Bricken · Xander Davies · Deepak Singh · Dmitry Krotov · Gabriel Kreiman
[ OpenReview
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Gradient Boosting Performs Gaussian Process Inference
Aleksei Ustimenko · Artem Beliakov · Liudmila Prokhorenkova
[ OpenReview
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Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
Sirui Zheng · Lingxiao Wang · Shuang Qiu · Zuyue Fu · Zhuoran Yang · Csaba Szepesvari · Zhaoran Wang
[ OpenReview
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None
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Maksym Yatsura · Kaspar Sakmann · Grace Hua · Matthias Hein · Jan Hendrik Metzen
[ Poster [ OpenReview
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None
Average Sensitivity of Decision Tree Learning
Satoshi Hara · Yuichi Yoshida
[ Slides [ Poster [ OpenReview
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Replicable Bandits
Hossein Esfandiari · Alkis Kalavasis · Amin Karbasi · Andreas Krause · Vahab Mirrokni · Grigoris Velegkas
[ OpenReview
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None
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu · Yuanzhi Li
[ OpenReview
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A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
[ OpenReview
Registration Desk
Sun Apr 30 10:00 PM -- 10:30 AM (PDT) None
Registration / Check-in
Remarks
Sun Apr 30 11:15 PM -- 11:30 PM (PDT) @ Auditorium None
Opening Remarks
Invited Talk
Sun Apr 30 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Entanglements, Exploring Artificial Biodiversity
Sofia Crespo
Break
Mon May 01 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD10 None
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu · Tianlong Chen · Zhenyu Zhang · Xuxi Chen · Tianjin Huang · AJAY JAISWAL · Zhangyang Wang
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD1 None
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
Edoardo Balzani · Jean-Paul Noel · Pedro Herrero-Vidal · Dora Angelaki · Cristina Savin
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD12 None
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher · Daniel Haeufle · Dieter Büchler · Syn Schmitt · Georg Martius
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD11 None
Quantifying Memorization Across Neural Language Models
Nicholas Carlini · Daphne Ippolito · Matthew Jagielski · Katherine Lee · Florian Tramer · Chiyuan Zhang
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD4 None
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 1 Track 5: Reinforcement Learning
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD4 None
Oral 1 Track 2: Machine Learning for Sciences
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 1 Track 6: Deep Learning and representational learning II
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 1 Track 1: Deep Learning and representational learning I
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 1 Track 4: Social Aspects of Machine Learning
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 1 Track 3: Neuroscience and Cognitive Science & General Machine Learning
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD1 None
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Felix Chalumeau · Raphael Boige · Bryan Lim · Valentin Macé · Maxime Allard · Arthur Flajolet · Antoine Cully · Thomas PIERROT
In-Person Oral presentation / top 5% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Token Merging: Your ViT But Faster
Daniel Bolya · Cheng-Yang Fu · Xiaoliang Dai · Peizhao Zhang · Christoph Feichtenhofer · Judy Hoffman
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Fisher-Legendre (FishLeg) optimization of deep neural networks
Jezabel R. Garcia · Federica Freddi · Stathi Fotiadis · Maolin Li · Sattar Vakili · Alberto Bernacchia · Guillaume Hennequin
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Human-Guided Fair Classification for Natural Language Processing
Florian Eddie Dorner · Momchil Peychev · Nikola Konstantinov · Naman Goel · Elliott Ash · Martin Vechev
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD12 None
The In-Sample Softmax for Offline Reinforcement Learning
Chenjun Xiao · Han Wang · Yangchen Pan · Adam White · Martha White
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD10 None
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur · Emre Kiciman · Amit Sharma
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James Whittington · Will Dorrell · Surya Ganguli · Timothy Behrens
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD12 None
Emergence of Maps in the Memories of Blind Navigation Agents
Erik Wijmans · Manolis Savva · Irfan Essa · Stefan Lee · Ari Morcos · Dhruv Batra
[ Slides
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD11 None
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD4 None
Compressing multidimensional weather and climate data into neural networks
Langwen Huang · Torsten Hoefler
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD1 None
Hebbian Deep Learning Without Feedback
Adrien Journé · Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD10 None
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Hayeon Lee · Sohyun An · Minseon Kim · Sung Ju Hwang
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas Sutter · Laura Manduchi · Alain Ryser · Julia E Vogt
In-Person Oral presentation / top 5% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD11 None
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida · Ikko Yamane · Nontawat Charoenphakdee · Gang Niu · Masashi Sugiyama
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati · Jérémy Rapin · Yann Ollivier
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD4 None
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li · Min Lin · Zheyuan Hu · Kunhao Zheng · Giovanni Vignale · Kenji Kawaguchi · A. Castro Neto · Kostya Novoselov · shuicheng YAN
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Neural Networks and the Chomsky Hierarchy
Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD10 None
NeRN: Learning Neural Representations for Neural Networks
Maor Ashkenazi · Zohar Rimon · Ron Vainshtein · Shir Levi · Elad Richardson · Pinchas Mintz · Eran Treister
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD11 None
UNICORN: A Unified Backdoor Trigger Inversion Framework
Zhenting Wang · Kai Mei · Juan Zhai · Shiqing Ma
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD1 None
Domain Generalization via Heckman-type Selection Models
Hyungu Kahng · Hyungrok Do · Judy Zhong
In-Person Oral presentation / top 5% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD4 None
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong · Wenbing Huang · Yang Liu
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Learning Soft Constraints From Constrained Expert Demonstrations
Ashish Gaurav · Kasra Rezaee · Guiliang Liu · Pascal Poupart
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
JIANFEI YANG · Xiangyu Peng · Kai Wang · Zheng Zhu · Jiashi Feng · Lihua Xie · Yang You
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD12 None
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Yuxin Wen · Arpit Bansal · hamid kazemi · Eitan Borgnia · Micah Goldblum · Jonas Geiping · Tom Goldstein
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD4 None
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao · Tess Smidt
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Continual Unsupervised Disentangling of Self-Organizing Representations
Zhiyuan Li · Xiajun Jiang · Ryan Missel · Prashnna Gyawali · Nilesh Kumar · Linwei Wang
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD4 None
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
Peter Yichen Chen · Jinxu Xiang · Dong Heon Cho · Yue Chang · G Pershing · Henrique Maia · Maurizio Chiaramonte · Kevin Carlberg · Eitan Grinspun
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD11 None
Learning to Estimate Shapley Values with Vision Transformers
Ian Covert · Chanwoo Kim · Su-In Lee
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD12 None
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang
In-Person Oral presentation / top 25% paper
Mon May 01 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Provable Defense Against Geometric Transformations
Rem Yang · Jacob Laurel · Sasa Misailovic · Gagandeep Singh
Break
Mon May 01 02:30 AM -- 04:30 AM (PDT) None
Lunch
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
Liyuan Xu · Arthur Gretton
[ Poster [ OpenReview
Virtual presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Shansan Gong · Mukai Li · Jiangtao Feng · Zhiyong Wu · Lingpeng Kong
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Jeremiah Zhe Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Balaji Lakshminarayanan · Deepak Ramachandran
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Xingyu Zhu · Zixuan Wang · Xiang Wang · Mo Zhou · Rong Ge
[ Poster [ OpenReview
Virtual presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov · Gleb Ryzhakov · Andrei Chertkov · Ivan Oseledets
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
How to prepare your task head for finetuning
YI REN · Shangmin Guo · Wonho Bae · Danica Sutherland
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
Tennison Liu · Zhaozhi Qian · Jeroen Berrevoets · Mihaela van der Schaar
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta · Stephen Tian · Yunzhi Zhang · Jiajun Wu · Roberto Martín-Martín · Li Fei-Fei
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng · Xiao Liu · Zhengxiao Du · Zihan Wang · Hanyu Lai · Ming Ding · Zhuoyi Yang · Yifan Xu · Wendi Zheng · Xiao Xia · Weng Lam Tam · Zixuan Ma · Yufei Xue · Jidong Zhai · Wenguang Chen · Zhiyuan Liu · Peng Zhang · Yuxiao Dong · Jie Tang
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
An efficient encoder-decoder architecture with top-down attention for speech separation
Kai Li · Runxuan Yang · Xiaolin Hu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Characterizing intrinsic compositionality in transformers with Tree Projections
Shikhar Murty · Pratyusha Sharma · Jacob Andreas · Christopher Manning
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Guoyang Xie · Jinbao Wang · Jiaqi Liu · Yaochu Jin · Feng Zheng
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong · Ming Ding · Wendi Zheng · Xinghan Liu · Jie Tang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
ZHENNAN WU · YANG LI · Yifei Huang · Lin Gu · Tatsuya Harada · Hiroyuki Sato
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
Jing Yang · Hanyuan Xiao · Wenbin Teng · Yunxuan Cai · Yajie Zhao
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Generating Sequences by Learning to Self-Correct
Sean Welleck · Ximing Lu · Peter West · Faeze Brahman · Tianxiao Shen · Daniel Khashabi · Yejin Choi
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Rethinking skip connection model as a learnable Markov chain
Chen Dengsheng · Jie Hu · Wenwen Qiang · Xiaoming Wei · Enhua Wu
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Zhitong Gao · Yucong Chen · Chuyu Zhang · Xuming He
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Masked Vision and Language Modeling for Multi-modal Representation Learning
Gukyeong Kwon · Zhaowei Cai · Avinash Ravichandran · Erhan Bas · Rahul Bhotika · Stefano Soatto
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Explaining Temporal Graph Models through an Explorer-Navigator Framework
Wenwen Xia · Mincai Lai · Caihua Shan · Yao Zhang · Xinnan Dai · Xiang Li · Dongsheng Li
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
Trainability Preserving Neural Pruning
Huan Wang · Yun Fu
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu · Tianlong Chen · Zhenyu Zhang · Xuxi Chen · Tianjin Huang · AJAY JAISWAL · Zhangyang Wang
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Neural Networks and the Chomsky Hierarchy
Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
Mega: Moving Average Equipped Gated Attention
Xuezhe Ma · Chunting Zhou · Xiang Kong · Junxian He · Liangke Gui · Graham Neubig · Jonathan May · Luke Zettlemoyer
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
Fisher-Legendre (FishLeg) optimization of deep neural networks
Jezabel R. Garcia · Federica Freddi · Stathi Fotiadis · Maolin Li · Sattar Vakili · Alberto Bernacchia · Guillaume Hennequin
[ Slides [ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Hayeon Lee · Sohyun An · Minseon Kim · Sung Ju Hwang
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
Can discrete information extraction prompts generalize across language models?
Nathanaël Carraz Rakotonirina · Roberto Dessi · Fabio Petroni · Sebastian Riedel · Marco Baroni
[ Poster [ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
Token Merging: Your ViT But Faster
Daniel Bolya · Cheng-Yang Fu · Xiaoliang Dai · Peizhao Zhang · Christoph Feichtenhofer · Judy Hoffman
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Jetze Schuurmans · kim batselier · Julian Kooij
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Broken Neural Scaling Laws
Ethan Caballero · Kshitij Gupta · Irina Rish · David Krueger
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
Softened Symbol Grounding for Neuro-symbolic Systems
Zenan Li · Yuan Yao · Taolue Chen · Jingwei Xu · Chun Cao · Xiaoxing Ma · Jian Lu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Continuous-time identification of dynamic state-space models by deep subspace encoding
Gerben Izaak Beintema · Maarten Schoukens · Roland Toth
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
A VAE for Transformers with Nonparametric Variational Information Bottleneck
James Henderson · Fabio Fehr
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
Cross-Layer Retrospective Retrieving via Layer Attention
Yanwen Fang · Yuxi Cai · Jintai Chen · Jingyu Zhao · Guangjian Tian · Guodong Li
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Avoiding spurious correlations via logit correction
Sheng Liu · Xu Zhang · Nitesh Sekhar · Yue Wu · Prateek Singhal · Carlos Fernandez-Granda
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Mitigating Dataset Bias by Using Per-Sample Gradient
Sumyeong Ahn · SeongYoon Kim · Se-Young Yun
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Minguk Jang · Sae-Young Chung · Hye Won Chung
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
LPT: Long-tailed Prompt Tuning for Image Classification
Bowen Dong · Pan Zhou · shuicheng YAN · Wangmeng Zuo
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur · Emre Kiciman · Amit Sharma
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
JIANFEI YANG · Xiangyu Peng · Kai Wang · Zheng Zhu · Jiashi Feng · Lihua Xie · Yang You
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
Continual Unsupervised Disentangling of Self-Organizing Representations
Zhiyuan Li · Xiajun Jiang · Ryan Missel · Prashnna Gyawali · Nilesh Kumar · Linwei Wang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
Editing models with task arithmetic
Gabriel Ilharco · Marco Tulio Ribeiro · Mitchell Wortsman · Ludwig Schmidt · Hannaneh Hajishirzi · Ali Farhadi
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas Sutter · Laura Manduchi · Alain Ryser · Julia E Vogt
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
Hanrong Ye · Dan Xu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Towards Better Selective Classification
Leo Feng · Mohamed Osama Ahmed · Hossein Hajimirsadeghi · Amir Abdi
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Structure by Architecture: Structured Representations without Regularization
Felix Leeb · Giulia Lanzillotta · Yashas Annadani · michel besserve · Stefan Bauer · Bernhard Schoelkopf
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
[ OpenReview
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Ming Xu · Sourav Garg · Michael Milford · Stephen Gould
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
Prince Aboagye · Yan Zheng · Jack Shunn · Chin-Chia Michael Yeh · Junpeng Wang · Zhongfang Zhuang · Huiyuan Chen · Liang Wang · Wei Zhang · Jeff Phillips
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #80
NeRN: Learning Neural Representations for Neural Networks
Maor Ashkenazi · Zohar Rimon · Ron Vainshtein · Shir Levi · Elad Richardson · Pinchas Mintz · Eran Treister
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Learning to Induce Causal Structure
Nan Rosemary Ke · Silvia Chiappa · Jane Wang · Jorg Bornschein · Anirudh Goyal · Melanie Rey · Theophane Weber · Matthew Botvinick · Michael Mozer · Danilo Jimenez Rezende
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
On the Soft-Subnetwork for Few-Shot Class Incremental Learning
Haeyong Kang · Jaehong Yoon · Sultan Madjid · Sung Ju Hwang · Chang Yoo
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
Learning to reason over visual objects
Shanka Subhra Mondal · Taylor Webb · Jonathan Cohen
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
QAID: Question Answering Inspired Few-shot Intent Detection
Asaf Yehudai · Matan Vetzler · Yosi Mass · Koren Lazar · Doron Cohen · Boaz Carmeli
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley · Amos Storkey · Antreas Antoniou · Sam Devlin
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Learning topology-preserving data representations
Ilya Trofimov · Daniil Cherniavskii · Eduard Tulchinskii · Nikita Balabin · Evgeny Burnaev · Serguei Barannikov
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
Wenqian Li · Yinchuan Li · Zhigang Li · Jianye HAO · Yan Pang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya · Kimon Antonakopoulos · Igor Krawczuk · Justin Deschenaux · Volkan Cevher
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
Dexiong Chen · Bowen Fan · Carlos Oliver · Karsten Borgwardt
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Deconstructing Distributions: A Pointwise Framework of Learning
Gal Kaplun · Nikhil Ghosh · Saurabh Garg · Boaz Barak · Preetum Nakkiran
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
Valentin Taillandier · Dieuwke Hupkes · Benoît Sagot · Emmanuel Dupoux · Paul Michel
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
James Oldfield · Christos Tzelepis · Yannis Panagakis · Mihalis Nicolaou · Ioannis Patras
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Diffusion-based Image Translation using disentangled style and content representation
Gihyun Kwon · Jong Ye
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
Finding the Global Semantic Representation in GAN through Fréchet Mean
Jaewoong Choi · Geonho Hwang · Hyunsoo Cho · Myungjoo Kang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
Domain Generalization via Heckman-type Selection Models
Hyungu Kahng · Hyungrok Do · Judy Zhong
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #88
Interaction-Based Disentanglement of Entities for Object-Centric World Models
Akihiro Nakano · Masahiro Suzuki · Yutaka Matsuo
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Matching receptor to odorant with protein language and graph neural networks
Matej Hladiš · Maxence Lalis · Sébastien Fiorucci · Jérémie Topin
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao · Tess Smidt
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Compressing multidimensional weather and climate data into neural networks
Langwen Huang · Torsten Hoefler
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong · Wenbing Huang · Yang Liu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #73
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi · Chuanrui Wang · Jiarui Lu · Bozitao Zhong · Jian Tang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #74
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
Peter Yichen Chen · Jinxu Xiang · Dong Heon Cho · Yue Chang · G Pershing · Henrique Maia · Maurizio Chiaramonte · Kevin Carlberg · Eitan Grinspun
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao · Yunan Luo · Mia Liu · Pan Li
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Zhihai Wang · Xijun Li · Jie Wang · Yufei Kuang · Mingxuan Yuan · Jia Zeng · Yongdong Zhang · Feng Wu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #76
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li · Min Lin · Zheyuan Hu · Kunhao Zheng · Giovanni Vignale · Kenji Kawaguchi · A. Castro Neto · Kostya Novoselov · shuicheng YAN
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Martin Bjerke · Lukas Schott · Kristopher Jensen · Claudia Battistin · David Klindt · Benjamin Dunn
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
Edoardo Balzani · Jean-Paul Noel · Pedro Herrero-Vidal · Dora Angelaki · Cristina Savin
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
How gradient estimator variance and bias impact learning in neural networks
Arna Ghosh · Yuhan Helena Liu · Guillaume Lajoie · Konrad P Kording · Blake A Richards
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Hebbian Deep Learning Without Feedback
Adrien Journé · Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James Whittington · Will Dorrell · Surya Ganguli · Timothy Behrens
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
Multi-objective optimization via equivariant deep hypervolume approximation
Jim Boelrijk · Bernd Ensing · Patrick Forré
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
Lingkai Kong · Yuqing Wang · Molei Tao
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Why (and When) does Local SGD Generalize Better than SGD?
Xinran Gu · Kaifeng Lyu · Longbo Huang · Sanjeev Arora
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
Michael Crawshaw · Yajie Bao · Mingrui Liu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #129
Denoising Diffusion Samplers
Francisco Vargas · Will Grathwohl · Arnaud Doucet
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Weighted Clock Logic Point Process
Ruixuan Yan · Yunshi Wen · Debarun Bhattacharjya · Ronny Luss · Tengfei Ma · Achille Fokoue · Anak Agung Julius
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Causal Balancing for Domain Generalization
Xinyi Wang · Michael Saxon · Jiachen Li · Hongyang Zhang · Kun Zhang · William Wang
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
Nicolai Dorka · Tim Welschehold · Wolfram Burgard
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
Wei Hung · Bo Kai Huang · Ping-Chun Hsieh · Xi Liu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
A Control-Centric Benchmark for Video Prediction
Stephen Tian · Chelsea Finn · Jiajun Wu
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Preference Transformer: Modeling Human Preferences using Transformers for RL
Changyeon Kim · Jongjin Park · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
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Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Emergence of Maps in the Memories of Blind Navigation Agents
Erik Wijmans · Manolis Savva · Irfan Essa · Stefan Lee · Ari Morcos · Dhruv Batra
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Chao Yu · Jiaxuan Gao · Weilin Liu · Botian Xu · Hao Tang · Jiaqi Yang · Yu Wang · Yi Wu
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou · Animesh Garg
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Learning Soft Constraints From Constrained Expert Demonstrations
Ashish Gaurav · Kasra Rezaee · Guiliang Liu · Pascal Poupart
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Firas Al-Hafez · Davide Tateo · Oleg Arenz · Guoping Zhao · Jan Peters
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
Nicklas Hansen · Yixin Lin · Hao Su · Xiaolong Wang · Vikash Kumar · Aravind Rajeswaran
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
WEI QIU · Xiao Ma · Bo An · Svetlana Obraztsova · shuicheng YAN · Zhongwen Xu
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
The In-Sample Softmax for Offline Reinforcement Learning
Chenjun Xiao · Han Wang · Yangchen Pan · Adam White · Martha White
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati · Jérémy Rapin · Yann Ollivier
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
Baiting Zhu · Meihua Dang · Aditya Grover
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher · Daniel Haeufle · Dieter Büchler · Syn Schmitt · Georg Martius
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
Yannick Hogewind · Thiago D. Simão · Tal Kachman · Nils Jansen
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
Haotian Fu · Jiayu Yao · Omer Gottesman · Finale Doshi-Velez · George D Konidaris
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #117
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
Florent Delgrange · Ann Nowe · Guillermo Perez
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Felix Chalumeau · Raphael Boige · Bryan Lim · Valentin Macé · Maxime Allard · Arthur Flajolet · Antoine Cully · Thomas PIERROT
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Quantifying Memorization Across Neural Language Models
Nicholas Carlini · Daphne Ippolito · Matthew Jagielski · Katherine Lee · Florian Tramer · Chiyuan Zhang
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Fooling SHAP with Stealthily Biased Sampling
Gabriel Laberge · Ulrich Aïvodji · Satoshi Hara · Mario Marchand · Foutse Khomh
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Valid P-Value for Deep Learning-driven Salient Region
Daiki Miwa · Vo Nguyen Le Duy · Ichiro Takeuchi
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
UNICORN: A Unified Backdoor Trigger Inversion Framework
Zhenting Wang · Kai Mei · Juan Zhai · Shiqing Ma
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Human-Guided Fair Classification for Natural Language Processing
Florian Eddie Dorner · Momchil Peychev · Nikola Konstantinov · Naman Goel · Elliott Ash · Martin Vechev
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Yuxin Wen · Arpit Bansal · hamid kazemi · Eitan Borgnia · Micah Goldblum · Jonas Geiping · Tom Goldstein
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
Sound Randomized Smoothing in Floating-Point Arithmetic
Vaclav Voracek · Matthias Hein
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
Provable Defense Against Geometric Transformations
Rem Yang · Jacob Laurel · Sasa Misailovic · Gagandeep Singh
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida · Ikko Yamane · Nontawat Charoenphakdee · Gang Niu · Masashi Sugiyama
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan · Yuchen Zeng · Jy-yong Sohn · Ramtin Pedarsani · Kangwook Lee
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
On the Perils of Cascading Robust Classifiers
Ravi Mangal · Zifan Wang · Chi Zhang · Klas Leino · Corina Pasareanu · Matt Fredrikson
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
Learning to Estimate Shapley Values with Vision Transformers
Ian Covert · Chanwoo Kim · Su-In Lee
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Machine Unlearning of Federated Clusters
Chao Pan · Jin Sima · Saurav Prakash · Vishal Rana · Olgica Milenkovic
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Multimodal Federated Learning via Contrastive Representation Ensemble
Qiying Yu · Yang Liu · Yimu Wang · Ke Xu · Jingjing Liu
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
Sungyoon Lee · Cheongjae Jang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
Kuan Cheng · Shaofeng Jiang · Luojian Wei · Zhide Wei
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
Damien Ferbach · Christos Tsirigotis · Gauthier Gidel · Joey Bose
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Contextual bandits with concave rewards, and an application to fair ranking
Virginie Do · Elvis Dohmatob · Matteo Pirotta · Alessandro Lazaric · Nicolas Usunier
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Why adversarial training can hurt robust accuracy
Jacob Clarysse · Julia Hörrmann · Fanny Yang
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
Continuous pseudo-labeling from the start
Dan Berrebbi · Ronan Collobert · Samy Bengio · Navdeep Jaitly · Tatiana Likhomanenko
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
Prafull Sharma · Ayush Tewari · Yilun Du · Sergey Zakharov · Rares Ambrus · Adrien Gaidon · William Freeman · Fredo Durand · Joshua B Tenenbaum · Vincent Sitzmann
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
Xiang Hu · XinYu KONG · Kewei Tu
[ Slides [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
Luca Franco · Paolo Mandica · Bharti Munjal · Fabio Galasso
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
Identifiability Results for Multimodal Contrastive Learning
Imant Daunhawer · Alice Bizeul · Emanuele Palumbo · Alexander Marx · Julia E Vogt
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim · Yujin Oh · Jong Ye
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #148
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson · Swarat Chaudhuri · Isil Dillig
[ OpenReview
Session
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 1
Invited Talk
Mon May 01 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
Understanding Systematic Deviations in Data for Trustworthy AI
Girmaw Abebe Tadesse
Break
Mon May 01 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung · Jeongsol Kim · Michael McCann · Marc Klasky · Jong Ye
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD11 None
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
Chenhongyi Yang · Jiarui Xu · Shalini De Mello · Elliot J Crowley · Xiaolong Wang
In-Person Oral presentation / top 5% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD1 None
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger · Carsten Lüth · Lukas Klein · Till Bungert
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Neural Optimal Transport
Alexander Korotin · Daniil Selikhanovych · Evgeny Burnaev
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Multi-skill Mobile Manipulation for Object Rearrangement
Jiayuan Gu · Devendra Singh Chaplot · Hao Su · Jitendra Malik
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
Ian Gemp · Charlie Chen · Brian McWilliams
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 2 Track 3: Generative models
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 2 Track 5: Generative models & Theory
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 2 Track 6: Applications & Social Aspects of Machine Learning
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 2 Track 4: Reinforcement Learning
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 2 Track 1: Applications
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 2 Track 2: General Machine Learning
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD4 None
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD1 None
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
Uday Kamal · Saurabh Dash · Saibal Mukhopadhyay
[ Slides
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz · Ron Mokady · Jay Tenenbaum · Kfir Aberman · Yael Pritch · Daniel Cohen-Or
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Muhammad Shoaib Ahmed Siddiqui · Nitarshan Rajkumar · Tegan Maharaj · David Krueger · Sara Hooker
[ Slides
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD10 None
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang · Jung Yeon Park · Neel Sortur · Lawson Wong · Robin Walters · Robert Platt
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
Xiajun Jiang · Ryan Missel · Zhiyuan Li · Linwei Wang
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD11 None
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy · Prithviraj Ammanabrolu · Kianté Brantley · Jack Hessel · Rafet Sifa · Christian Bauckhage · Hannaneh Hajishirzi · Yejin Choi
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD1 None
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Bencheng Liao · Shaoyu Chen · Xinggang Wang · Tianheng Cheng · Qian Zhang · Wenyu Liu · Chang Huang
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD4 None
Effects of Graph Convolutions in Multi-layer Networks
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
[ Slides
In-Person Oral presentation / top 5% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
Shaokun Zhang · Feiran Jia · Chi Wang · Qingyun Wu
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD10 None
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta · Yusuke Iwasawa · Yutaka Matsuo · Shixiang Gu
[ Slides
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD1 None
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Olga Golovneva · Moya Chen · spencer poff · Martin Corredor · Luke Zettlemoyer · Maryam Fazel-Zarandi · Asli Celikyilmaz
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD11 None
Human Motion Diffusion Model
Guy Tevet · Sigal Raab · Brian Gordon · Yonatan Shafir · Daniel Cohen-Or · Amit Bermano
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Diffusion Models Already Have A Semantic Latent Space
Mingi Kwon · Jaeseok Jeong · Youngjung Uh
In-Person Oral presentation / top 5% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD10 None
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
Pierluca D'Oro · Max Schwarzer · Evgenii Nikishin · Pierre-Luc Bacon · Marc G Bellemare · Aaron Courville
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD11 None
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
Ruiqi Ni · Ahmed Qureshi
In-Person Oral presentation / top 5% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Modeling content creator incentives on algorithm-curated platforms
Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus · Sarah Dean
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Ask Me Anything: A simple strategy for prompting language models
Simran Arora · Avanika Narayan · Mayee Chen · Laurel Orr · Neel Guha · Kush Bhatia · Ines Chami · Christopher Re
[ Slides
In-Person Oral presentation / top 5% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD12 None
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole · Ajay Jain · Jonathan T. Barron · Ben Mildenhall
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans · Phillip Isola
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
LAVA: Data Valuation without Pre-Specified Learning Algorithms
Hoang Anh Just · Feiyang Kang · Tianhao Wang · Yi Zeng · Myeongseob Ko · Ming Jin · Ruoxi Jia
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD1 None
Code Translation with Compiler Representations
Marc Szafraniec · Baptiste Roziere · Hugh Leather · Patrick Labatut · François Charton · Gabriel Synnaeve
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD10 None
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li · Viraj Mehta · Johannes Kirschner · Ian Char · Willie Neiswanger · Jeff Schneider · Andreas Krause · Ilija Bogunovic
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD11 None
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
Jiasen Lu · Christopher Clark · Rowan Zellers · Roozbeh Mottaghi · Aniruddha Kembhavi
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD4 None
Optimal Transport for Offline Imitation Learning
Yicheng Luo · Zhengyao Jiang · samuel cohen · Edward Grefenstette · Marc Deisenroth
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Hidden Markov Transformer for Simultaneous Machine Translation
Shaolei Zhang · Yang Feng
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Mass-Editing Memory in a Transformer
Kevin Meng · Arnab Sen Sharma · Alex J Andonian · Yonatan Belinkov · David Bau
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD10 None
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot · Amy Zhang · Dhruv Batra · Zsolt Kira · Franziska Meier
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
Liyao Li · Haobo Wang · Liangyu Zha · Qingyi Huang · Sai Wu · Gang Chen · Junbo Zhao
[ Slides
In-Person Oral presentation / top 5% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD1 None
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
In-Person Oral presentation / top 25% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD11 None
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
Tiago Pimentel · Clara Meister · Ryan Cotterell
In-Person Oral presentation / top 5% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
Learning where and when to reason in neuro-symbolic inference
Cristina Cornelio · Jan Stuehmer · Xu Hu · Timothy Hospedales
In-Person Oral presentation / top 25% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Learning About Progress From Experts
Jake Bruce · Ankit Anand · Bogdan Mazoure · Rob Fergus
Virtual presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
Minyoung Kim · Da Li · Timothy Hospedales
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
Yongqiang Chen · Kaiwen Zhou · Yatao Bian · Binghui Xie · Bingzhe Wu · Yonggang Zhang · MA KAILI · Han Yang · Peilin Zhao · Bo Han · James Cheng
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Pan Lu · Liang Qiu · Kai-Wei Chang · Yingnian Wu · Song-Chun Zhu · Tanmay Rajpurohit · Peter Clark · Ashwin Kalyan
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
Fahad Sarfraz · Elahe Arani · Bahram Yoosefizonooz
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
Selective Frequency Network for Image Restoration
Yuning Cui · Yi Tao · Zhenshan Bing · Wenqi Ren · Xinwei Gao · Xiaochun Cao · Kai Huang · Alois Knoll
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Complexity-Based Prompting for Multi-step Reasoning
Yao Fu · Hao Peng · Ashish Sabharwal · Peter Clark · Tushar Khot
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov · He He
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
Ask Me Anything: A simple strategy for prompting language models
Simran Arora · Avanika Narayan · Mayee Chen · Laurel Orr · Neel Guha · Kush Bhatia · Ines Chami · Christopher Re
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Human Motion Diffusion Model
Guy Tevet · Sigal Raab · Brian Gordon · Yonatan Shafir · Daniel Cohen-Or · Amit Bermano
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #55
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
Ruiqi Ni · Ahmed Qureshi
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #35
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
Tiago Pimentel · Clara Meister · Ryan Cotterell
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
Temporal Coherent Test Time Optimization for Robust Video Classification
Chenyu Yi · SIYUAN YANG · Yufei Wang · Haoliang Li · Yap-peng Tan · Alex Kot
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
Jiasen Lu · Christopher Clark · Rowan Zellers · Roozbeh Mottaghi · Aniruddha Kembhavi
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Mass-Editing Memory in a Transformer
Kevin Meng · Arnab Sen Sharma · Alex J Andonian · Yonatan Belinkov · David Bau
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Robust Scheduling with GFlowNets
David Zhang · Corrado Rainone · Markus Peschl · Roberto Bondesan
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
Rongjie Huang · Jinglin Liu · Huadai Liu · Yi Ren · Lichao Zhang · Jinzheng He · Zhou Zhao
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
Ashish Mittal · Sunita Sarawagi · Preethi Jyothi
[ Slides [ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Paul F. Jaeger · Carsten Lüth · Lukas Klein · Till Bungert
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Open-Vocabulary Object Detection upon Frozen Vision and Language Models
Weicheng Kuo · Yin Cui · Xiuye Gu · AJ Piergiovanni · Anelia Angelova
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Xue Yang · Gefan Zhang · Wentong Li · Yue Zhou · Xuehui Wang · Junchi Yan
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Olga Golovneva · Moya Chen · spencer poff · Martin Corredor · Luke Zettlemoyer · Maryam Fazel-Zarandi · Asli Celikyilmaz
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
Chenhongyi Yang · Jiarui Xu · Shalini De Mello · Elliot J Crowley · Xiaolong Wang
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
Martijn Oldenhof · Adam Arany · Yves Moreau · Edward De Brouwer
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
Iterative Circuit Repair Against Formal Specifications
Matthias Cosler · Frederik Schmitt · Christopher Hahn · Bernd Finkbeiner
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Hidden Markov Transformer for Simultaneous Machine Translation
Shaolei Zhang · Yang Feng
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Yuqiao Wen · Yongchang Hao · Yanshuai Cao · Lili Mou
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
BYUNGKI KWON · HYEONWOO NAM · Ji-Yun Kim · Tae-Hyun Oh
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Ye Zhu · Yu Wu · Kyle Olszewski · Jian Ren · Sergey Tulyakov · Yan Yan
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Code Translation with Compiler Representations
Marc Szafraniec · Baptiste Roziere · Hugh Leather · Patrick Labatut · François Charton · Gabriel Synnaeve
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Iterative Patch Selection for High-Resolution Image Recognition
Benjamin Bergner · Christoph Lippert · Aravindh Mahendran
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Bencheng Liao · Shaoyu Chen · Xinggang Wang · Tianheng Cheng · Qian Zhang · Wenyu Liu · Chang Huang
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
Learning Iterative Neural Optimizers for Image Steganography
Xiangyu Chen · Varsha Kishore · Kilian Weinberger
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
Uday Kamal · Saurabh Dash · Saibal Mukhopadhyay
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy · Prithviraj Ammanabrolu · Kianté Brantley · Jack Hessel · Rafet Sifa · Christian Bauckhage · Hannaneh Hajishirzi · Yejin Choi
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
FIGARO: Controllable Music Generation using Learned and Expert Features
Dimitri von Rütte · Luca Biggio · Yannic Kilcher · Thomas Hofmann
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
General Neural Gauge Fields
Fangneng Zhan · Lingjie Liu · Adam Kortylewski · Christian Theobalt
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
Guande He · Jianfei Chen · Jun Zhu
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
Grounding Graph Network Simulators using Physical Sensor Observations
Jonas Linkerhägner · Niklas Freymuth · Paul Maria Scheikl · Franziska Mathis-Ullrich · Gerhard Neumann
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #40
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
Qing Wang · Dillon Chen · Asiri Wijesinghe · Shouheng Li · Muhammad Farhan
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
Spatial Attention Kinetic Networks with E(n)-Equivariance
Yuanqing Wang · John Chodera
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
Ruslan Khalitov · Tong Yu · Lei Cheng · Zhirong Yang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot · Harsh Trivedi · Matthew Finlayson · Yao Fu · Kyle Richardson · Peter Clark · Ashish Sabharwal
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
Bit-Pruning: A Sparse Multiplication-Less Dot-Product
Yusuke Sekikawa · Shingo Yashima
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Over-Training with Mixup May Hurt Generalization
Zixuan Liu · Ziqiao Wang · Hongyu Guo · Yongyi Mao
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
Yuancheng Xu · Yanchao Sun · Micah Goldblum · Tom Goldstein · Furong Huang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
Can CNNs Be More Robust Than Transformers?
Zeyu Wang · Yutong Bai · Yuyin Zhou · Cihang Xie
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Scaffolding a Student to Instill Knowledge
Anil Kag · Durmus Alp Emre Acar · Aditya Gangrade · Venkatesh Saligrama
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Constraining Representations Yields Models That Know What They Don't Know
Joao Monteiro · Pau Rodriguez Lopez · Pierre-André Noël · Issam Laradji · David Vazquez
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
Chaitanya Murti · Tanay Narshana · Chiranjib Bhattacharyya
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han · Tong Zhao · Yozen Liu · Xia Hu · Neil Shah
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
Runzhong Wang · Li Shen · Yiting Chen · Xiaokang Yang · Dacheng Tao · Junchi Yan
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Decoupled Training for Long-Tailed Classification With Stochastic Representations
Giung Nam · Sunguk Jang · Juho Lee
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan · Hanie Sedghi · Olga Saukh · Rahim Entezari · Behnam Neyshabur
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli · Anshul Hemant Nasery · Venkatesh Babu Radhakrishnan · Praneeth Netrapalli · Prateek Jain
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Gradient Gating for Deep Multi-Rate Learning on Graphs
T. Konstantin Rusch · Benjamin Chamberlain · Michael W Mahoney · Michael Bronstein · Siddhartha Mishra
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
Ian Gemp · Charlie Chen · Brian McWilliams
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
Shaokun Zhang · Feiran Jia · Chi Wang · Qingyun Wu
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
Ondrej Bohdal · Lukas Balles · Martin Wistuba · Beyza Ermis · Cedric Archambeau · Giovanni Zappella
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya · Ryan Rossi · Sungchul Kim · Tong Yu · Jane Hoffswell · Nedim Lipka · Shunan Guo · Cameron Musco
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Muhammad Shoaib Ahmed Siddiqui · Nitarshan Rajkumar · Tegan Maharaj · David Krueger · Sara Hooker
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
Learning where and when to reason in neuro-symbolic inference
Cristina Cornelio · Jan Stuehmer · Xu Hu · Timothy Hospedales
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
LAVA: Data Valuation without Pre-Specified Learning Algorithms
Hoang Anh Just · Feiyang Kang · Tianhao Wang · Yi Zeng · Myeongseob Ko · Ming Jin · Ruoxi Jia
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
Liyao Li · Haobo Wang · Liangyu Zha · Qingyi Huang · Sai Wu · Gang Chen · Junbo Zhao
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Neural Optimal Transport
Alexander Korotin · Daniil Selikhanovych · Evgeny Burnaev
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole · Ajay Jain · Jonathan T. Barron · Ben Mildenhall
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
Diffusion Models Already Have A Semantic Latent Space
Mingi Kwon · Jaeseok Jeong · Youngjung Uh
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung · Jeongsol Kim · Michael McCann · Marc Klasky · Jong Ye
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
Generative Modelling with Inverse Heat Dissipation
Severi Rissanen · Markus Heinonen · Arno Solin
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
José Lezama · Tim Salimans · Lu Jiang · Huiwen Chang · Jonathan Ho · Irfan Essa
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
Zonghan Yang · Xiaoyuan Yi · Peng Li · Yang Liu · Xing Xie
[ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Explicitly Minimizing the Blur Error of Variational Autoencoders
Gustav Bredell · Kyriakos Flouris · Krishna Chaitanya · Ertunc Erdil · Ender Konukoglu
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
Xiajun Jiang · Ryan Missel · Zhiyuan Li · Linwei Wang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz · Ron Mokady · Jay Tenenbaum · Kfir Aberman · Yael Pritch · Daniel Cohen-Or
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
Factorized Fourier Neural Operators
Alasdair Tran · Alexander Mathews · Lexing Xie · Cheng Soon Ong
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
Competitive Physics Informed Networks
Qi Zeng · Yash Kothari · Spencer Bryngelson · Florian Schaefer
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
Learning Symbolic Models for Graph-structured Physical Mechanism
Hongzhi Shi · Jingtao Ding · Yufan Cao · Quanming Yao · Li Liu · Yong Li
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Akarsh Pokkunuru · Pedram Rooshenas · Thilo Strauss · Anuj Abhishek · Taufiquar Khan
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
Brian Trippe · Jason Yim · Doug Tischer · David Baker · Tamara Broderick · Regina Barzilay · Tommi Jaakkola
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang · Minghao Xu · Arian Jamasb · Vijil Chenthamarakshan · Aurelie Lozano · Payel Das · Jian Tang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou · Zhifeng Gao · Qiankun Ding · Hang Zheng · Hongteng Xu · Zhewei Wei · Linfeng Zhang · Guolin Ke
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Computational Language Acquisition with Theory of Mind
Andy Liu · Hao Zhu · Emmy Liu · Yonatan Bisk · Graham Neubig
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Exploring perceptual straightness in learned visual representations
Anne Harrington · Vasha DuTell · Ayush Tewari · Mark Hamilton · Simon Stent · Ruth Rosenholtz · William Freeman
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
Stamatios Lefkimmiatis · Iaroslav Koshelev
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
CUTS: Neural Causal Discovery from Irregular Time-Series Data
Yuxiao Cheng · Runzhao Yang · Tingxiong Xiao · Zongren Li · Jinli Suo · Kunlun He · Qionghai Dai
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Diffusion Models for Causal Discovery via Topological Ordering
Pedro Sanchez · Xiao Liu · Alison O'Neil · Sotirios Tsaftaris
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
Michael Volpp · Philipp Dahlinger · Philipp Becker · Christian Daniel · Gerhard Neumann
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Trading Information between Latents in Hierarchical Variational Autoencoders
Tim Xiao · Robert Bamler
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Neural Causal Models for Counterfactual Identification and Estimation
Kevin M Xia · Yushu Pan · Elias Bareinboim
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman · Chao Ma · Agrin Hilmkil · Joel Jennings · Cheng Zhang
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation
Linfeng Zhao · Huazhe Xu · Lawson Wong
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
SpeedyZero: Mastering Atari with Limited Data and Time
Yixuan Mei · Jiaxuan Gao · Weirui Ye · Shaohuai Liu · Yang Gao · Yi Wu
[ Poster [ OpenReview
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Optimal Transport for Offline Imitation Learning
Yicheng Luo · Zhengyao Jiang · samuel cohen · Edward Grefenstette · Marc Deisenroth
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
Daniel Palenicek · Michael Lutter · Joao Carvalho · Jan Peters
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu · Nicklas Hansen · Zirui Wang · Yung-Chieh Chan · Hao Su · Zhuowen Tu
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Haichao Zhang · Wei Xu · Haonan Yu
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Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang · Jung Yeon Park · Neel Sortur · Lawson Wong · Robin Walters · Robert Platt
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #121
Multi-skill Mobile Manipulation for Object Rearrangement
Jiayuan Gu · Devendra Singh Chaplot · Hao Su · Jitendra Malik
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #101
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li · Viraj Mehta · Johannes Kirschner · Ian Char · Willie Neiswanger · Jeff Schneider · Andreas Krause · Ilija Bogunovic
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans · Phillip Isola
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
Minimum Description Length Control
Ted Moskovitz · Ta-Chu Kao · Maneesh Sahani · Matthew Botvinick
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot · Amy Zhang · Dhruv Batra · Zsolt Kira · Franziska Meier
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
Become a Proficient Player with Limited Data through Watching Pure Videos
Weirui Ye · Yunsheng Zhang · Pieter Abbeel · Yang Gao
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Learning About Progress From Experts
Jake Bruce · Ankit Anand · Bogdan Mazoure · Rob Fergus
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
Yanchao Sun · Ruijie Zheng · Parisa Hassanzadeh · Yongyuan Liang · Soheil Feizi · Sumitra Ganesh · Furong Huang
[ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
Pierluca D'Oro · Max Schwarzer · Evgenii Nikishin · Pierre-Luc Bacon · Marc G Bellemare · Aaron Courville
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta · Yusuke Iwasawa · Yutaka Matsuo · Shixiang Gu
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
POPGym: Benchmarking Partially Observable Reinforcement Learning
Steven Morad · Ryan Kortvelesy · Matteo Bettini · Stephan Liwicki · Amanda Prorok
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Yat Long (Richie) Lo · Christian Schroeder de Witt · Samuel Sokota · Jakob Foerster · Shimon Whiteson
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Global Explainability of GNNs via Logic Combination of Learned Concepts
Steve Azzolin · Antonio Longa · Pietro Barbiero · Pietro Lio · Andrea Passerini
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
Kuan Li · Yang Liu · Xiang Ao · Qing He
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell · Murray Shanahan · Irina Higgins
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
Amit Daniely · Elad Granot
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham · Xueru Zhang · Ping Zhang
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay · Kwan Ho Ryan Chan · Benjamin Haeffele · Donald Geman · Rene Vidal
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
Jake Snell · Thomas Zollo · Zhun Deng · Toniann Pitassi · Richard Zemel
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
Julius Adebayo · Melissa Hall · Bowen Yu · Bobbie Chern
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Measure the Predictive Heterogeneity
Jiashuo Liu · Jiayun Wu · Renjie Pi · Renzhe Xu · Xingxuan Zhang · Bo Li · Peng Cui
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
MultiViz: Towards Visualizing and Understanding Multimodal Models
Paul Pu Liang · Yiwei Lyu · Gunjan Chhablani · Nihal Jain · Zihao Deng · Xingbo Wang · Louis-Philippe Morency · Ruslan Salakhutdinov
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
Effects of Graph Convolutions in Multi-layer Networks
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
[ Slides [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
Memorization Capacity of Neural Networks with Conditional Computation
Erdem Koyuncu
[ OpenReview
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #142
Constructive TT-representation of the tensors given as index interaction functions with applications
Gleb Ryzhakov · Ivan Oseledets
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
Kaiyue Wen · Jiaye Teng · Jingzhao Zhang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
Taiji Suzuki · Atsushi Nitanda · Denny Wu
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang · Yongyi Mao
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
Modeling content creator incentives on algorithm-curated platforms
Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus · Sarah Dean
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Optimizing Spca-based Continual Learning: A Theoretical Approach
Chunchun Yang · Malik Tiomoko · Zengfu Wang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan · Jan Stuehmer · Calum Heggan · Mehrdad Yaghoobi · Timothy Hospedales
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised visualization of image datasets using contrastive learning
Niklas Böhm · Philipp Berens · Dmitry Kobak
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
Dong Bok Lee · Seanie Lee · Kenji Kawaguchi · Yunji Kim · Jihwan Bang · Jung-Woo Ha · Sung Ju Hwang
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Temperature Schedules for self-supervised contrastive methods on long-tail data
Anna Kukleva · Moritz Böhle · Bernt Schiele · Hilde Kuehne · Christian Rupprecht
[ OpenReview
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
The hidden uniform cluster prior in self-supervised learning
Mahmoud Assran · Randall Balestriero · Quentin Duval · Florian Bordes · Ishan Misra · Piotr Bojanowski · Pascal Vincent · Michael Rabbat · Nicolas Ballas
[ Poster [ OpenReview
Session
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 2
Remarks
Mon May 01 09:30 AM -- 09:50 AM (PDT) @ Auditorium None
Opening Ceremony
Been Kim
Reception
Mon May 01 09:50 AM -- 11:00 AM (PDT) @ The Square None
Reception
Registration Desk
Mon May 01 11:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Invited Talk
Mon May 01 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Importance-Weighting Approach to Distribution Shift Adaptation
Masashi Sugiyama
Break
Tue May 02 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 5% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD11 None
On the duality between contrastive and non-contrastive self-supervised learning
Quentin Garrido · Yubei Chen · Adrien Bardes · Laurent Najman · Yann LeCun
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD1 None
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim · Joshua Robinson · Lingxiao Zhao · Tess Smidt · Suvrit Sra · Haggai Maron · Stefanie Jegelka
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD10 None
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi · Tero Karras · Miika Aittala · Timo Aila · Jaakko Lehtinen
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Adversarial Diversity in Hanabi
Brandon Cui · Andrei Lupu · Samuel Sokota · Hengyuan Hu · David Wu · Jakob Foerster
In-Person Oral presentation / top 5% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD12 None
Efficient Conditionally Invariant Representation Learning
Roman Pogodin · Namrata Deka · Yazhe Li · Danica Sutherland · Victor Veitch · Arthur Gretton
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 3 Track 3: Generative models
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 3 Track 2: Deep Learning and representational learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 3 Track 1: Reinforcement Learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD1 None
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang · Kai Yi · Xinliang Liu · Yuguang Wang · Shi Jin
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Learning Diffusion Bridges on Constrained Domains
Xingchao Liu · Lemeng Wu · Mao Ye · Qiang Liu
In-Person Oral presentation / top 5% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD12 None
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee · Ondrej Biza · Robert Platt · Robin Walters
In-Person Oral presentation / top 5% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng · Luca Weihs · Roozbeh Mottaghi · Ali Farhadi
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD11 None
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi · Jiefeng Chen · Kunyang Li · Jayaram Raghuram · Xi Wu · Yingyu Liang · Somesh Jha
In-Person Oral presentation / top 5% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang · Jiayuan Mao · Joy Hsu · Hang Zhao · Jiajun Wu · Yang Gao
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD12 None
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu · Eric Michaud · Max Tegmark
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD10 None
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD11 None
Self-supervised learning with rotation-invariant kernels
Léon Zheng · Gilles Puy · Elisa Riccietti · Patrick Perez · Rémi Gribonval
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD1 None
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner · Maximilian Krahn · Edith Tretschk · Zorah Lähner · Michael Moeller · Vladislav Golyanik
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD10 None
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie · Florentin Guth · Stéphane Mallat · Eero Simoncelli
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Tianlong Chen · Zhenyu Zhang · AJAY JAISWAL · Shiwei Liu · Zhangyang Wang
In-Person Oral presentation / top 5% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
On the Sensitivity of Reward Inference to Misspecified Human Models
Joey Hong · Kush Bhatia · Anca Dragan
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD11 None
DINO as a von Mises-Fisher mixture model
Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD1 None
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite
In-Person Oral presentation / top 5% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Juhan Bae · Michael Zhang · Michael Ruan · Duanyang Wang · So Hasegawa · Jimmy Ba · Roger Grosse
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Understanding and Adopting Rational Behavior by Bellman Score Estimation
Kuno Kim · Stefano Ermon
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD10 None
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal · Yuval Alaluf · Yuval Atzmon · Or Patashnik · Amit Bermano · Gal Chechik · Daniel Cohen-Or
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD1 None
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
Daniel Kunin · Atsushi Yamamura · Chao Ma · Surya Ganguli
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein
[ Slides
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD12 None
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun · Sanjay Krishna Gouda · Zijian Wang · Xiaopeng Li · YUCHEN TIAN · Ming Tan · Wasi Ahmad · Shiqi Wang · Qing Sun · Mingyue Shang · Sujan Kumar Gonugondla · Hantian Ding · Varun Kumar · Nathan Fulton · Arash Farahani · Siddhartha Jain · Robert Giaquinto · Haifeng Qian · Murali Krishna Ramanathan · Ramesh Nallapati · Baishakhi Ray · Parminder Bhatia · Sudipta Sengupta · Dan Roth · Bing Xiang
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Jiyeon Han · Hwanil Choi · Yunjey Choi · Junho Kim · Jung-Woo Ha · Jaesik Choi
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun · shuang ma · Ratnesh Madaan · Rogerio Bonatti · Furong Huang · Ashish Kapoor
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD1 None
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver · Marc A Finzi · Micah Goldblum · Andrew Wilson
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD12 None
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang · Shengjie Luo · Liwei Wang · Di He
In-Person Oral presentation / top 25% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Deterministic training of generative autoencoders using invertible layers
Gianluigi Silvestri · Daan Roos · Luca Ambrogioni
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
Dichotomy of Control: Separating What You Can Control from What You Cannot
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
In-Person Oral presentation / top 25% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD11 None
Efficient Discrete Multi Marginal Optimal Transport Regularization
Ronak Mehta · Jeffery Kline · Vishnu Lokhande · Glenn Fung · Vikas Singh
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD1 None
Training language models to summarize narratives improves brain alignment
Khai Loong Aw · Mariya Toneva
In-Person Oral presentation / top 5% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Tomasz Odrzygóźdź · Damian Stachura · Piotr Piękos · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Sparsity-Constrained Optimal Transport
Tianlin Liu · Joan Puigcerver · Mathieu Blondel
In-Person Oral presentation / top 5% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD10 None
3D generation on ImageNet
Ivan Skorokhodov · Aliaksandr Siarohin · Yinghao Xu · Jian Ren · Hsin-Ying Lee · Peter Wonka · Sergey Tulyakov
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD12 None
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin · Benjamin Chamberlain · Michael Bronstein · Jonathan J Hunt
Break
Tue May 02 02:30 AM -- 04:30 AM (PDT) None
Lunch
Virtual presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Few-shot Backdoor Attacks via Neural Tangent Kernels
Jonathan Hayase · Sewoong Oh
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Mid-Vision Feedback
Michael Maynord · Eadom Dessalene · Cornelia Fermuller · Yiannis Aloimonos
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng · Noriyuki Kojima · Alexander M Rush
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Language models are multilingual chain-of-thought reasoners
Freda Shi · Mirac Suzgun · Markus Freitag · Xuezhi Wang · Suraj Srivats · Soroush Vosoughi · Hyung Won Chung · Yi Tay · Sebastian Ruder · Denny Zhou · Dipanjan Das · Jason Wei
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Language Models Can Teach Themselves to Program Better
Patrick Haluptzok · Matthew Bowers · Adam Tauman Kalai
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
A Non-monotonic Self-terminating Language Model
Eugene Choi · Kyunghyun Cho · Cheolhyoung Lee
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DiffusER: Diffusion via Edit-based Reconstruction
Machel Reid · Vincent Hellendoorn · Graham Neubig
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Understanding Embodied Reference with Touch-Line Transformer
Yang Li · Xiaoxue Chen · Hao Zhao · Jiangtao Gong · Guyue Zhou · Federico Rossano · Yixin Zhu
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi · Hyeongjin Nam · Taeryung Lee · Gyeongsik Moon · Kyoung Mu Lee
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Active Image Indexing
Pierre Fernandez · Matthijs Douze · Herve Jegou · Teddy Furon
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
Abdullah Hamdi · Silvio Giancola · Bernard Ghanem
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Hao Tang · XIAOJUAN QI · Guolei Sun · Dan Xu · Nicu Sebe · Radu Timofte · Luc Van Gool
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
Agent-based Graph Neural Networks
Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Limitless Stability for Graph Convolutional Networks
Christian Koke
[ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
Daniel Kunin · Atsushi Yamamura · Chao Ma · Surya Ganguli
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang · Shengjie Luo · Liwei Wang · Di He
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
Alessio Gravina · Davide Bacciu · Claudio Gallicchio
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang · Kai Yi · Xinliang Liu · Yuguang Wang · Shi Jin
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish · Kamal Gupta · Saurabh Singh · Abhinav Shrivastava
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner · Maximilian Krahn · Edith Tretschk · Zorah Lähner · Michael Moeller · Vladislav Golyanik
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares · Tennison Liu · Jonathan Crabbé · Fergus Imrie · Mihaela van der Schaar
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan · Srinadh Bhojanapalli · Himanshu Jain · Prateek Jain
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Latent Bottlenecked Attentive Neural Processes
Leo Feng · Hossein Hajimirsadeghi · Yoshua Bengio · Mohamed Osama Ahmed
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
Alexander Atanasov · Blake Bordelon · Sabarish Sainathan · Cengiz Pehlevan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun · Sanjay Krishna Gouda · Zijian Wang · Xiaopeng Li · YUCHEN TIAN · Ming Tan · Wasi Ahmad · Shiqi Wang · Qing Sun · Mingyue Shang · Sujan Kumar Gonugondla · Hantian Ding · Varun Kumar · Nathan Fulton · Arash Farahani · Siddhartha Jain · Robert Giaquinto · Haifeng Qian · Murali Krishna Ramanathan · Ramesh Nallapati · Baishakhi Ray · Parminder Bhatia · Sudipta Sengupta · Dan Roth · Bing Xiang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
DFPC: Data flow driven pruning of coupled channels without data.
Tanay Narshana · Chaitanya Murti · Chiranjib Bhattacharyya
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver · Marc A Finzi · Micah Goldblum · Andrew Wilson
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang · Feng Li · Shilong Liu · Lei Zhang · Hang Su · Jun Zhu · Lionel Ni · Heung-Yeung Shum
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Tianlong Chen · Zhenyu Zhang · AJAY JAISWAL · Shiwei Liu · Zhangyang Wang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Scaling Forward Gradient With Local Losses
Mengye Ren · Simon Kornblith · Renjie Liao · Geoffrey E Hinton
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen · Geng Yuan · Xinwen Cheng · Yifan Gong · Minghai Qin · Yanzhi Wang · Xiaolin Huang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
The Curious Case of Benign Memorization
Sotiris Anagnostidis · Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Topology-aware Robust Optimization for Out-of-Distribution Generalization
Fengchun Qiao · Xi Peng
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
Yuki Ukai · Tsubasa Hirakawa · Takayoshi Yamashita · Hironobu Fujiyoshi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
Chenyang ZHAO · Antoni Chan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
Hao ZHENG · Runqi Wang · Jianzhuang Liu · Asako Kanezaki
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
Jinrong Yang · Lin Song · Songtao Liu · Weixin Mao · Zeming Li · Xiaoping Li · Hongbin Sun · Jian Sun · Nanning Zheng
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh · Hanie Sedghi · Patrick Thiran
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Data Valuation Without Training of a Model
Nohyun Ki · Hoyong Choi · Hye Won Chung
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Multivariate Time-series Imputation with Disentangled Temporal Representations
SHUAI LIU · Xiucheng Li · Gao Cong · Yile Chen · YUE JIANG
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
Nihal Nayak · Peilin Yu · Stephen Bach
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
haixu wu · Tengge Hu · Yong Liu · Hang Zhou · Jianmin Wang · Mingsheng Long
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee · Ondrej Biza · Robert Platt · Robin Walters
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim · Joshua Robinson · Lingxiao Zhao · Tess Smidt · Suvrit Sra · Haggai Maron · Stefanie Jegelka
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
Hao Chen · Ran Tao · Yue Fan · Yidong Wang · Jindong Wang · Bernt Schiele · Xing Xie · Bhiksha Raj · Marios Savvides
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
Unicom: Universal and Compact Representation Learning for Image Retrieval
xiang an · Jiankang Deng · Kaicheng Yang · Jaiwei Li · Ziyong Feng · Jia Guo · Jing Yang · Tongliang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Online Boundary-Free Continual Learning by Scheduled Data Prior
Hyunseo Koh · Minhyuk Seo · Jihwan Bang · Hwanjun Song · Deokki Hong · Seulki Park · Jung-Woo Ha · Jonghyun Choi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Efficient Conditionally Invariant Representation Learning
Roman Pogodin · Namrata Deka · Yazhe Li · Danica Sutherland · Victor Veitch · Arthur Gretton
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu · Abhishek Gupta · Max Simchowitz · Kaiqing Zhang · Pulkit Agrawal
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
FedFA: Federated Feature Augmentation
Tianfei Zhou · Ender Konukoglu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
Liam H Fowl · Jonas Geiping · Steven Reich · Yuxin Wen · Wojciech Czaja · Micah Goldblum · Tom Goldstein
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu · Eric Michaud · Max Tegmark
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
Subham Sahoo · Anselm Paulus · Marin Vlastelica Pogančić · Vít Musil · Volodymyr Kuleshov · Georg Martius
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Neural Radiance Field Codebooks
Matthew Wallingford · Aditya Kusupati · Alex Fang · Vivek Ramanujan · Aniruddha Kembhavi · Roozbeh Mottaghi · Ali Farhadi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
Autoregressive Conditional Neural Processes
Wessel Bruinsma · Stratis Markou · James Requeima · Andrew Y. K. Foong · Tom Andersson · Anna Vaughan · Anthony Buonomo · Scott Hosking · Richard E Turner
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
FIT: A Metric for Model Sensitivity
Ben Zandonati · Adrian Pol · Maurizio Pierini · Olya Sirkin · Tal Kopetz
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman · Slimane Thabet · Constantin Dalyac · Hela Mhiri · Elham Kashefi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Label Propagation with Weak Supervision
Rattana Pukdee · Dylan Sam · Pradeep K Ravikumar · Nina Balcan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Learning to CROSS exchange to solve min-max vehicle routing problems
Minjun Kim · Junyoung Park · Jinkyoo Park
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Continual Pre-training of Language Models
Zixuan Ke · Yijia Shao · Haowei Lin · Tatsuya Konishi · Gyuhak Kim · Bing Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Diffusion Probabilistic Fields
Peiye Zhuang · Samira Abnar · Jiatao Gu · Alex Schwing · Joshua Susskind · MIGUEL ANGEL BAUTISTA MARTIN
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh · Anadi Chaman · Valentin Debarnot · Ivan Dokmanic
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Jiyeon Han · Hwanil Choi · Yunjey Choi · Junho Kim · Jung-Woo Ha · Jaesik Choi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal · Yuval Alaluf · Yuval Atzmon · Or Patashnik · Amit Bermano · Gal Chechik · Daniel Cohen-Or
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi · Tero Karras · Miika Aittala · Timo Aila · Jaakko Lehtinen
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
3D generation on ImageNet
Ivan Skorokhodov · Aliaksandr Siarohin · Yinghao Xu · Jian Ren · Hsin-Ying Lee · Peter Wonka · Sergey Tulyakov
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
LDMIC: Learning-based Distributed Multi-view Image Coding
Xinjie Zhang · Jiawei Shao · Jun Zhang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie · Florentin Guth · Stéphane Mallat · Eero Simoncelli
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Learning Diffusion Bridges on Constrained Domains
Xingchao Liu · Lemeng Wu · Mao Ye · Qiang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
Eric-Tuan Le · Edward Bartrum · Iasonas Kokkinos
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov · Denis Kuznedelev · Michael Diskin · Artem Babenko · Liudmila Prokhorenkova
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
Yangtian Zhang · Huiyu Cai · Chence Shi · Jian Tang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
Nicholas Gao · Stephan Günnemann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Actionable Neural Representations: Grid Cells from Minimal Constraints
Will Dorrell · Peter Latham · Timothy Behrens · James Whittington
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
Training language models to summarize narratives improves brain alignment
Khai Loong Aw · Mariya Toneva
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Sparsity-Constrained Optimal Transport
Tianlin Liu · Joan Puigcerver · Mathieu Blondel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
Frederik Kunstner · Jacques Chen · Jonathan Lavington · Mark Schmidt
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Eduard Gorbunov · Samuel Horváth · Peter Richtarik · Gauthier Gidel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Efficient Discrete Multi Marginal Optimal Transport Regularization
Ronak Mehta · Jeffery Kline · Vishnu Lokhande · Glenn Fung · Vikas Singh
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu · Zenan Li · Runzhong Wang · Qibing Ren · Xijun Li · Mingxuan Yuan · Jia Zeng · Xiaokang Yang · Junchi Yan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Sampling-based inference for large linear models, with application to linearised Laplace
Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Qi Wang · Marco Federici · Herke van Hoof
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Estimating individual treatment effects under unobserved confounding using binary instruments
Dennis Frauen · Stefan Feuerriegel
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Imitating Human Behaviour with Diffusion Models
Tim Pearce · Tabish Rashid · Anssi Kanervisto · David Bignell · Mingfei Sun · Raluca Georgescu · Sergio Valcarcel Macua · Shan Zheng Tan · Ida Momennejad · Katja Hofmann · Sam Devlin
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang · Jiayuan Mao · Joy Hsu · Hang Zhao · Jiajun Wu · Yang Gao
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Linfeng Zhao · Xupeng Zhu · LINGZHI KONG · Robin Walters · Lawson Wong
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine · Marc Höftmann · Tobias Uelwer · Stefan Harmeling
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
Adversarial Diversity in Hanabi
Brandon Cui · Andrei Lupu · Samuel Sokota · Hengyuan Hu · David Wu · Jakob Foerster
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
On the Sensitivity of Reward Inference to Misspecified Human Models
Joey Hong · Kush Bhatia · Anca Dragan
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Tomasz Odrzygóźdź · Damian Stachura · Piotr Piękos · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng · Luca Weihs · Roozbeh Mottaghi · Ali Farhadi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
Jiachen Hu · Han Zhong · Chi Jin · Liwei Wang
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Understanding and Adopting Rational Behavior by Bellman Score Estimation
Kuno Kim · Stefano Ermon
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu · Raymond Mooney
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Dichotomy of Control: Separating What You Can Control from What You Cannot
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Adversarial Imitation Learning with Preferences
Aleksandar Taranovic · Andras Kupcsik · Niklas Freymuth · Gerhard Neumann
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun · shuang ma · Ratnesh Madaan · Rogerio Bonatti · Furong Huang · Ashish Kapoor
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin · Benjamin Chamberlain · Michael Bronstein · Jonathan J Hunt
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
Efficient Planning in a Compact Latent Action Space
Zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying Li · Tim Rocktaeschel · Edward Grefenstette · Yuandong Tian
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu · Vedant Shah · Oussama Boussif · Cristian Meo · Anirudh Goyal · Tianmin Shu · Michael Mozer · Nicolas Heess · Yoshua Bengio
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
A Mixture-of-Expert Approach to RL-based Dialogue Management
Yinlam Chow · Azamat Tulepbergenov · Ofir Nachum · Dhawal Gupta · Moonkyung Ryu · Mohammad Ghavamzadeh · Craig Boutilier
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Large Language Models are Human-Level Prompt Engineers
Yongchao Zhou · Andrei Muresanu · Ziwen Han · Keiran Paster · Silviu Pitis · Harris Chan · Jimmy Ba
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Holistic Adversarially Robust Pruning
Qi Zhao · Christian Wressnegger
[ Slides [ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
FaiREE: fair classification with finite-sample and distribution-free guarantee
Puheng Li · James Y Zou · Linjun Zhang
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon · Joshua Tian Jin Tee · Eunseop Yoon · Sunjae Yoon · Gwangsu Kim · Yingzhen Li · Chang Yoo
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming · Yiyou Sun · Ousmane Dia · Yixuan Li
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
Zhenhui Ye · Ziyue Jiang · Yi Ren · Jinglin Liu · Jinzheng He · Zhou Zhao
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
Easy Differentially Private Linear Regression
Kareem Amin · Matthew Joseph · Mónica Ribero · Sergei Vassilvitskii
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Revisiting Robustness in Graph Machine Learning
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Samuel Maddock · Alexandre Sablayrolles · Pierre Stock
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
Annan Yu · Yunan Yang · Alex Townsend
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Adaptive Optimization in the $\infty$-Width Limit
Etai Littwin · Greg Yang
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
How Sharpness-Aware Minimization Minimizes Sharpness?
Kaiyue Wen · Tengyu Ma · Zhiyuan Li
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
Gregory Schwartzman
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Fundamental limits on the robustness of image classifiers
Zheng Dai · David Gifford
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
Haozhe Jiang · Qiwen Cui · Zhihan Xiong · Maryam Fazel · Simon Du
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng · Hsin-Yi Lin · Kuo-Hsuan Hung · Yu Tsao
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Long-Tailed Learning Requires Feature Learning
Thomas Laurent · James von Brecht · Xavier Bresson
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
Xiaolin Hu · Shaojie Li · Yong Liu
[ Slides [ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Sandeep Silwal · Sara Ahmadian · Andrew Nystrom · Andrew McCallum · Deepak Ramachandran · Seyed Mehran Kazemi
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra · Peizhao Li · Prasant Mohapatra · Hongfu Liu
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Link Prediction with Non-Contrastive Learning
William Shiao · Zhichun Guo · Tong Zhao · Evangelos Papalexakis · Yozen Liu · Neil Shah
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol · Stefan Zohren · S Roberts
[ Poster [ JMLR
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Zhijian Zhuo · Yifei Wang · Jinwen Ma · Yisen Wang
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
DINO as a von Mises-Fisher mixture model
Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten
[ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
On the duality between contrastive and non-contrastive self-supervised learning
Quentin Garrido · Yubei Chen · Adrien Bardes · Laurent Najman · Yann LeCun
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi · Jiefeng Chen · Kunyang Li · Jayaram Raghuram · Xi Wu · Yingyu Liang · Somesh Jha
[ Poster [ OpenReview
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Self-supervised learning with rotation-invariant kernels
Léon Zheng · Gilles Puy · Elisa Riccietti · Patrick Perez · Rémi Gribonval
[ Poster [ OpenReview
Session
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 3
Affinity Poster Session
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 None
Blog Track Poster Session
Charlie Gauthier · Claire Vernade · David Dobre · Gauthier Gidel · Joan Bruna
Invited Talk
Tue May 02 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
AI, History and Equity
Elaine Nsoesie
Break
Tue May 02 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Planning Goals for Exploration
Edward Hu · Richard Chang · Oleh Rybkin · Dinesh Jayaraman
In-Person Oral presentation / top 5% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Qiaochu Jiang · Sean Welleck · Jin Zhou · Timothée Lacroix · Jiacheng Liu · Wenda Li · Mateja Jamnik · Guillaume Lample · Yuhuai Wu
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD11 None
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
Yubei Chen · Zeyu Yun · Yi Ma · Bruno Olshausen · Yann LeCun
[ Slides
In-Person Oral presentation / top 5% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Transformers are Sample-Efficient World Models
Vincent Micheli · Eloi Alonso · François Fleuret
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD1 None
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
[ Slides
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn · Jongwoo Ko · Se-Young Yun
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 4 Track 5: Machine Learning for Sciences & Probabilistic Methods
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 4 Track 4: Reinforcement Learning II
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 4 Track 2: Probabilistic Methods
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 4 Track 1: Unsupervised and Self-supervised learning
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 4 Track 3: Reinforcement Learning I
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
Daesol Cho · Seungjae Lee · H. Kim
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD4 None
Flow Annealed Importance Sampling Bootstrap
Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schoelkopf · José Miguel Hernández Lobato
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD11 None
AANG : Automating Auxiliary Learning
Lucio Dery · Paul Michel · Mikhail Khodak · Graham Neubig · Ameet Talwalkar
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Shutong Wu · Sizhe Chen · Cihang Xie · Xiaolin Huang
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD10 None
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya · Thang Doan · Lucas Caccia · Laure Soulier · Ludovic Denoyer · Roberta Raileanu
In-Person Oral presentation / top 5% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD1 None
SAM as an Optimal Relaxation of Bayes
Thomas Möllenhoff · Mohammad Emtiyaz Khan
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Onno Eberhard · Jakob Hollenstein · Cristina Pinneri · Georg Martius
[ Slides
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD4 None
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD11 None
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam · Jihoon Tack · Kyungmin Lee · Hankook Lee · Jinwoo Shin
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD10 None
Neural Episodic Control with State Abstraction
Zhuo Li · Derui Zhu · Yujing Hu · Xiaofei Xie · Lei Ma · YAN ZHENG · Yan Song · Yingfeng Chen · Jianjun Zhao
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
Learning Label Encodings for Deep Regression
Deval Shah · Tor Aamodt
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD1 None
Generative Augmented Flow Networks
Ling Pan · Dinghuai Zhang · Aaron Courville · Longbo Huang · Yoshua Bengio
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Nico Gürtler · Sebastian Blaes · Pavel Kolev · Felix Widmaier · Manuel Wuthrich · Stefan Bauer · Bernhard Schoelkopf · Georg Martius
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD4 None
Minimax Optimal Kernel Operator Learning via Multilevel Training
Jikai Jin · Yiping Lu · Jose Blanchet · Lexing Ying
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD1 None
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Yingda Yin · Yang Wang · He Wang · Baoquan Chen
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD11 None
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Zhili LIU · Kai Chen · Jianhua Han · Lanqing HONG · Hang Xu · Zhenguo Li · James Kwok
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ Auditorium None
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman · Ilan Naiman · Omri Azencot
In-Person Oral presentation / top 5% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD10 None
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Jiajun Fan · Yuzheng Zhuang · Yuecheng Liu · Jianye HAO · Bin Wang · Jiangcheng Zhu · Hao Wang · Shu-Tao Xia
[ Slides
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
Takeshi Koshizuka · Issei Sato
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Alexandre Lacoste · Sai Rajeswar
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD11 None
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Li Yi · Gezheng Xu · Pengcheng Xu · Jiaqi Li · Ruizhi Pu · Charles Ling · Ian McLeod · Boyu Wang
[ Slides
In-Person Oral presentation / top 5% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu · Li Jiang · Jianxiong Li · Zhuoran Yang · Zhaoran Wang · Wai Chan · Xianyuan Zhan
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Zihao Xu · Guang-Yuan Hao · Hao He · Hao Wang
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo · Aaron Havens · Blaise Delattre · Alexandre Allauzen · Bin Hu
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD4 None
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi · Michael Schaarschmidt · James Martens · Hyunjik Kim · Yee Whye Teh · Alvaro Sanchez Gonzalez · Peter Battaglia · Razvan Pascanu · Jonathan Godwin
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD12 None
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar · Yuhao Ding · Bilgehan Sel · Javad Lavaei · Ming Jin
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD1 None
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD11 None
Towards Stable Test-time Adaptation in Dynamic Wild World
Shuaicheng Niu · Jiaxiang Wu · Yifan Zhang · Zhiquan Wen · Yaofo Chen · Peilin Zhao · Mingkui Tan
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ Auditorium None
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui · Yibin Wang · Nur Muhammad Shafiullah · Lerrel Pinto
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD10 None
Is Conditional Generative Modeling all you need for Decision Making?
Anurag Ajay · Yilun Du · Abhi Gupta · Joshua B Tenenbaum · Tommi Jaakkola · Pulkit Agrawal
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD4 None
MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
In-Person Oral presentation / top 5% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Joey Hong · Aviral Kumar · Sergey Levine
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Quentin Bouniot · Romaric Audigier · Angelique Loesch · Amaury Habrard
In-Person Oral presentation / top 5% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel Ainsworth · Jonathan Hayase · Siddhartha Srinivasa
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD10 None
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
Yiqin Tan · Pihe Hu · Ling Pan · Jiatai Huang · Longbo Huang
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
Wenbo Gong · Joel Jennings · Cheng Zhang · Nick Pawlowski
In-Person Oral presentation / top 5% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Extreme Q-Learning: MaxEnt RL without Entropy
Divyansh Garg · Joey Hejna · Matthieu Geist · Stefano Ermon
In-Person Oral presentation / top 5% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin · Luyu Wang · Junhyuk Oh · Emilio Parisotto · Stephen Spencer · Richie Steigerwald · DJ Strouse · Steven Hansen · Angelos Filos · Ethan Brooks · Maxime Gazeau · Himanshu Sahni · Satinder Singh · Volodymyr Mnih
In-Person Oral presentation / top 25% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao · Feiyu Liu · Liang Wang · Zhenjie Lian · Weixuan Wang · Siqin Li · Xianliang Wang · Xianhan Zeng · Rundong Wang · jiawei wang · QIANG FU · Yang Wei · Lanxiao Huang · Wei Liu
In-Person Oral presentation / top 25% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD11 None
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk · Matthäus Kleindessner · Yi Zhu · Francesco Locatello · Thomas Brox
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #36
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu · Shuangfei Zhai · Yizhe Zhang · MIGUEL ANGEL BAUTISTA MARTIN · Joshua Susskind
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Weiyang Liu · Longhui Yu · Adrian Weller · Bernhard Schoelkopf
[ Slides [ Poster [ OpenReview
Virtual presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #168
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
Bilal Alsallakh · David Yan · Narine Kokhlikyan · Vivek Miglani · Orion Reblitz-Richardson · Pamela Bhattacharya
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov · Nathanael Schaerli · Ekin Akyürek · Nathan Scales · Xinying Song · Xinyun Chen · Olivier Bousquet · Denny Zhou
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
Hyeong-Seok Choi · Jinhyeok Yang · Juheon Lee · Hyeongju Kim
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
Guy Hacohen · Daphna Weinshall
[ JMLR
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Revisiting Populations in multi-agent Communication
Paul Michel · Mathieu Rita · Kory Mathewson · Olivier Tieleman · Angeliki Lazaridou
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #55
Topologically penalized regression on manifolds
Olympio Hacquard · Krishnakumar Balasubramanian · Gilles Blanchard · Clément Levrard · Wolfgang Polonik
[ Poster [ JMLR
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
Kaifeng Gao · Long Chen · Hanwang Zhang · Jun Xiao · Qianru Sun
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee · Yu Tsao · Hsin-Min Wang · Chu-Song Chen
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Sparse Token Transformer with Attention Back Tracking
Heejun Lee · Minki Kang · Youngwan Lee · Sung Ju Hwang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska · Xiantong Zhen · Marcel Worring
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
Video Scene Graph Generation from Single-Frame Weak Supervision
Siqi Chen · Jun Xiao · Long Chen
[ Poster [ OpenReview
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
Jessica Maghakian · Paul Mineiro · Kishan Panaganti · Mark Rucker · Akanksha Saran · Cheng Tan
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
Learning Locality and Isotropy in Dialogue Modeling
Han Wu · Haochen Tan · Mingjie Zhan · Gangming Zhao · Shaoqing Lu · Ding Liang · Linqi Song
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou · Yuesheng Zhu · Chao He · Yaowei Wang · shuicheng YAN · Yonghong Tian · Yuan Li
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo · Chuan Shi · Lele Wang · Renjie Liao
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo · Aaron Havens · Blaise Delattre · Alexandre Allauzen · Bin Hu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel Ainsworth · Jonathan Hayase · Siddhartha Srinivasa
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zonglin Li · Chong You · Srinadh Bhojanapalli · Daliang Li · Ankit Singh Rawat · Sashank Reddi · Ke Ye · Felix Chern · Felix Yu · Ruiqi Guo · Sanjiv Kumar
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
Daksh Idnani · Vivek Madan · Naman Goyal · David J Schwab · Shanmukha Ramakrishna Vedantam
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
Bowen Zhao · Chen Chen · Shu-Tao Xia
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic · Nebojsa Bozanic · Arjun Ashok · Rosanne Liu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
A Unified Framework for Soft Threshold Pruning
Yanqi Chen · Zhengyu Ma · Wei Fang · Xiawu Zheng · Zhaofei Yu · Yonghong Tian
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
David Knigge · David W. Romero · Albert Gu · Efstratios Gavves · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn · Jan-jakob Sonke
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Massively Scaling Heteroscedastic Classifiers
Mark Collier · Rodolphe Jenatton · Basil Mustafa · Neil Houlsby · Jesse Berent · Efi Kokiopoulou
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
Kilian Zepf · Eike Petersen · Jes Frellsen · Aasa Feragen
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
Ido Galil · Mohammed Dabbah · Ran El-Yaniv
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Towards Robust Object Detection Invariant to Real-World Domain Shifts
Qi Fan · Mattia Segu · Yu-Wing Tai · Fisher Yu · Chi-Keung Tang · Bernt Schiele · Dengxin Dai
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
Self-Distillation for Further Pre-training of Transformers
Seanie Lee · Minki Kang · Juho Lee · Sung Ju Hwang · Kenji Kawaguchi
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn · Jongwoo Ko · Se-Young Yun
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui · Yibin Wang · Nur Muhammad Shafiullah · Lerrel Pinto
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman · Ilan Naiman · Omri Azencot
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Shutong Wu · Sizhe Chen · Cihang Xie · Xiaolin Huang
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #40
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
Runsheng Yu · Weiyu Chen · Xinrun Wang · James Kwok
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
Learning Label Encodings for Deep Regression
Deval Shah · Tor Aamodt
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Samyadeep Basu · Megan Stanley · John Bronskill · Soheil Feizi · Daniela Massiceti
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
Mehdi Setayesh · Xiaoxiao Li · Vincent Wong
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
Data augmentation alone can improve adversarial training
Lin Li · Michael Spratling
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #59
Scaling Laws For Deep Learning Based Image Reconstruction
Tobit Klug · Reinhard Heckel
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini · Florian Tramer · Krishnamurthy Dvijotham · Leslie Rice · Mingjie Sun · Zico Kolter
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Learning with Auxiliary Activation for Memory-Efficient Training
Sunghyeon Woo · Dongsuk Jeon
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Bo Wan · Yongfei Liu · Desen Zhou · Tinne Tuytelaars · Xuming He
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya · John Bronskill · Massimiliano Patacchiola · Sebastian Nowozin · Richard E Turner
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt · Stefan Feuerriegel · Ce Zhang
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Disentangling Learning Representations with Density Estimation
Eric Yeats · Frank Liu · Hai Li
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
Linearly Mapping from Image to Text Space
Jack Merullo · Louis Castricato · Carsten Eickhoff · Ellie Pavlick
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Yujun Shi · Jian Liang · Wenqing Zhang · Vincent Tan · Song Bai
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Reliability of CKA as a Similarity Measure in Deep Learning
MohammadReza Davari · Stefan Horoi · Amine Natik · Guillaume Lajoie · Guy Wolf · Eugene Belilovsky
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel · Marine Le Morvan · Gael Varoquaux
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Approximate Vanishing Ideal Computations at Scale
Elias Wirth · Hiroshi Kera · Sebastian Pokutta
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Matthew J Tilley · Michelle Miller · David Freedman
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #84
Online Bias Correction for Task-Free Continual Learning
Aristotelis Chrysakis · Marie-Francine Moens
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
Noam Wies · Yoav Levine · Amnon Shashua
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
On the Importance and Applicability of Pre-Training for Federated Learning
Hong-You Chen · Cheng-Hao Tu · Ziwei Li · Han Wei Shen · Wei-Lun Chao
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #66
Towards Smooth Video Composition
Qihang Zhang · Ceyuan Yang · Yujun Shen · Yinghao Xu · Bolei Zhou
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
Long Range Language Modeling via Gated State Spaces
Harsh Mehta · Ankit Gupta · Ashok Cutkosky · Behnam Neyshabur
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
Kiarash Jamali · Dari Kimanius · Sjors Scheres
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #68
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso · Hannes Stärk · Bowen Jing · Regina Barzilay · Tommi Jaakkola
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
Takeshi Koshizuka · Issei Sato
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Qiaochu Jiang · Sean Welleck · Jin Zhou · Timothée Lacroix · Jiacheng Liu · Wenda Li · Mateja Jamnik · Guillaume Lample · Yuhuai Wu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
Ryo Ueda · Taiga Ishii · Yusuke Miyao
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Deep Generative Symbolic Regression
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
De Novo Molecular Generation via Connection-aware Motif Mining
Zijie Geng · Shufang Xie · Yingce Xia · Lijun Wu · Tao Qin · Jie Wang · Yongdong Zhang · Feng Wu · Tie-Yan Liu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
Suresh Bishnoi · Ravinder Bhattoo · Jayadeva Jayadeva · Sayan Ranu · N. M. Anoop Krishnan
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #90
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi · Michael Schaarschmidt · James Martens · Hyunjik Kim · Yee Whye Teh · Alvaro Sanchez Gonzalez · Peter Battaglia · Razvan Pascanu · Jonathan Godwin
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #167
Flow Annealed Importance Sampling Bootstrap
Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schoelkopf · José Miguel Hernández Lobato
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Minimax Optimal Kernel Operator Learning via Multilevel Training
Jikai Jin · Yiping Lu · Jose Blanchet · Lexing Ying
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu · Takashi Maruyama · Qingqing Zhao · Gordon Wetzstein · Jure Leskovec
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee · Sung Woong Cho · Hyung Ju Hwang
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
One Transformer Can Understand Both 2D & 3D Molecular Data
Shengjie Luo · Tianlang Chen · Yixian Xu · Shuxin Zheng · Tie-Yan Liu · Liwei Wang · Di He
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Simplicial Hopfield networks
Thomas F Burns · Tomoki Fukai
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
Bayesian Oracle for bounding information gain in neural encoding models
Konstantin-Klemens Lurz · Mohammad Bashiri · Edgar Walker · Fabian Sinz
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li · Junchi YANG · Niao He
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Faster federated optimization under second-order similarity
Ahmed Khaled · Chi Jin
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Generative Augmented Flow Networks
Ling Pan · Dinghuai Zhang · Aaron Courville · Longbo Huang · Yoshua Bengio
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Zihao Xu · Guang-Yuan Hao · Hao He · Hao Wang
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
SAM as an Optimal Relaxation of Bayes
Thomas Möllenhoff · Mohammad Emtiyaz Khan
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Yingda Yin · Yang Wang · He Wang · Baoquan Chen
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
GFlowNets and variational inference
Nikolay Malkin · Salem Lahlou · Tristan Deleu · Xu Ji · Edward Hu · Katie Everett · Dinghuai Zhang · Yoshua Bengio
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao · Xiantong Zhen · Shengcai Liao · Cees G Snoek
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
MARS: Meta-learning as Score Matching in the Function Space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
Younghyun Park · Wonjeong Choi · Soyeong Kim · Dong-Jun Han · Jaekyun Moon
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Versatile Neural Processes for Learning Implicit Neural Representations
Zongyu Guo · Cuiling Lan · Zhizheng Zhang · Yan Lu · Zhibo Chen
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
Wenbo Gong · Joel Jennings · Cheng Zhang · Nick Pawlowski
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
Causal Imitation Learning via Inverse Reinforcement Learning
Kangrui Ruan · Junzhe Zhang · Xuan Di · Elias Bareinboim
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Neural Episodic Control with State Abstraction
Zhuo Li · Derui Zhu · Yujing Hu · Xiaofei Xie · Lei Ma · YAN ZHENG · Yan Song · Yingfeng Chen · Jianjun Zhao
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
Samuel Neumann · Sungsu Lim · Ajin Joseph · Yangchen Pan · Adam White · Martha White
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao · Feiyu Liu · Liang Wang · Zhenjie Lian · Weixuan Wang · Siqin Li · Xianliang Wang · Xianhan Zeng · Rundong Wang · jiawei wang · QIANG FU · Yang Wei · Lanxiao Huang · Wei Liu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Jiajun Fan · Yuzheng Zhuang · Yuecheng Liu · Jianye HAO · Bin Wang · Jiangcheng Zhu · Hao Wang · Shu-Tao Xia
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Population-size-Aware Policy Optimization for Mean-Field Games
Pengdeng Li · Xinrun Wang · Shuxin Li · Hau Chan · Bo An
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Is Conditional Generative Modeling all you need for Decision Making?
Anurag Ajay · Yilun Du · Abhi Gupta · Joshua B Tenenbaum · Tommi Jaakkola · Pulkit Agrawal
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
Jihwan Jeong · Xiaoyu Wang · Michael Gimelfarb · Hyunwoo Kim · Baher Abdulhai · Scott Sanner
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya · Thang Doan · Lucas Caccia · Laure Soulier · Ludovic Denoyer · Roberta Raileanu
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Alexandre Lacoste · Sai Rajeswar
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
Daesol Cho · Seungjae Lee · H. Kim
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
Adrien Ali Taiga · Rishabh Agarwal · Jesse Farebrother · Aaron Courville · Marc G Bellemare
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
Yiqin Tan · Pihe Hu · Ling Pan · Jiatai Huang · Longbo Huang
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Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #121
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen · Cheng Lu · Chengyang Ying · Hang Su · Jun Zhu
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In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #101
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
Haiyun He · Hanshu Yan · Vincent Tan
[ Poster [ JMLR
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu · Li Jiang · Jianxiong Li · Zhuoran Yang · Zhaoran Wang · Wai Chan · Xianyuan Zhan
[ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #85
Planning Goals for Exploration
Edward Hu · Richard Chang · Oleh Rybkin · Dinesh Jayaraman
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Nico Gürtler · Sebastian Blaes · Pavel Kolev · Felix Widmaier · Manuel Wuthrich · Stefan Bauer · Bernhard Schoelkopf · Georg Martius
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar · Yuhao Ding · Bilgehan Sel · Javad Lavaei · Ming Jin
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
Hao Hu · Yiqin Yang · Qianchuan Zhao · Chongjie Zhang
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
Imitating Graph-Based Planning with Goal-Conditioned Policies
Junsu Kim · Younggyo Seo · Sungsoo Ahn · Kyunghwan Son · Jinwoo Shin
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Decision Transformer under Random Frame Dropping
Kaizhe Hu · Ray Chen Zheng · Yang Gao · Huazhe Xu
[ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Transformers are Sample-Efficient World Models
Vincent Micheli · Eloi Alonso · François Fleuret
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Extreme Q-Learning: MaxEnt RL without Entropy
Divyansh Garg · Joey Hejna · Matthieu Geist · Stefano Ermon
[ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin · Luyu Wang · Junhyuk Oh · Emilio Parisotto · Stephen Spencer · Richie Steigerwald · DJ Strouse · Steven Hansen · Angelos Filos · Ethan Brooks · Maxime Gazeau · Himanshu Sahni · Satinder Singh · Volodymyr Mnih
[ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Onno Eberhard · Jakob Hollenstein · Cristina Pinneri · Georg Martius
[ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #134
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Joey Hong · Aviral Kumar · Sergey Levine
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
Sasha Salter · Kristian Hartikainen · Walter Goodwin · Ingmar Posner
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Prompting GPT-3 To Be Reliable
Chenglei Si · Zhe Gan · Zhengyuan Yang · Shuohang Wang · Jianfeng Wang · Jordan Boyd-Graber · Lijuan Wang
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Mikayel Samvelyan · Akbir Khan · Michael Dennis · Minqi Jiang · Jack Parker-Holder · Jakob Foerster · Roberta Raileanu · Tim Rocktaeschel
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion · Trevor McInroe · Kevin Sebastian Luck · Josiah Hanna · Stefano Albrecht
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
Kevin Wang · Alexandre Variengien · Arthur Conmy · Buck Shlegeris · Jacob Steinhardt
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
Charles Jin · Melinda Sun · Martin Rinard
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Zitao Liu · Qiongqiong Liu · Jiahao Chen · Shuyan Huang · Weiqi Luo
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
Eli Chien · Chao Pan · Olgica Milenkovic
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Sangwon Jung · Taeeon Park · Sanghyuk Chun · Taesup Moon
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
Andrew Lowy · Meisam Razaviyayn
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
Mor Shpigel Nacson · Rotem Mulayoff · Greg Ongie · Tomer Michaeli · Daniel Soudry
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
SOUVIK KUNDU · Shunlin Lu · Yuke Zhang · Jacqueline Liu · Peter Beerel
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
On Achieving Optimal Adversarial Test Error
Justin D. Li · Matus Telgarsky
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Corinna Coupette · Sebastian Dalleiger · Bastian Rieck
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #160
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
Edo Cohen-Karlik · Itamar Menuhin · Raja Giryes · Nadav Cohen · Amir Globerson
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #142
Meta-Learning in Games
Keegan Harris · Ioannis Anagnostides · Gabriele Farina · Mikhail Khodak · Steven Wu · Tuomas Sandholm
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
Towards Stable Test-time Adaptation in Dynamic Wild World
Shuaicheng Niu · Jiaxiang Wu · Yifan Zhang · Zhiquan Wen · Yaofo Chen · Peilin Zhao · Mingkui Tan
[ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Zhili LIU · Kai Chen · Jianhua Han · Lanqing HONG · Hang Xu · Zhenguo Li · James Kwok
[ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
AANG : Automating Auxiliary Learning
Lucio Dery · Paul Michel · Mikhail Khodak · Graham Neubig · Ameet Talwalkar
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Li Yi · Gezheng Xu · Pengcheng Xu · Jiaqi Li · Ruizhi Pu · Charles Ling · Ian McLeod · Boyu Wang
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
Yubei Chen · Zeyu Yun · Yi Ma · Bruno Olshausen · Yann LeCun
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #145
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam · Jihoon Tack · Kyungmin Lee · Hankook Lee · Jinwoo Shin
[ Slides [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #149
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Samuel Sokota · Ryan D'Orazio · Zico Kolter · Nicolas Loizou · Marc Lanctot · Ioannis Mitliagkas · Noam Brown · Christian Kroer
[ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
Don’t fear the unlabelled: safe semi-supervised learning via debiasing
Hugo Schmutz · Olivier HUMBERT · Pierre-Alexandre Mattei
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
wav2tok: Deep Sequence Tokenizer for Audio Retrieval
Adhiraj Banerjee · Vipul Arora
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk · Matthäus Kleindessner · Yi Zhu · Francesco Locatello · Thomas Brox
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Quentin Bouniot · Romaric Audigier · Angelique Loesch · Amaury Habrard
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Jointly Learning Visual and Auditory Speech Representations from Raw Data
Alexandros Haliassos · Pingchuan Ma · Rodrigo Mira · Stavros Petridis · Maja Pantic
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan · Saurabh Singh · Warren Morningstar · Alexander Alemi · Sergey Ioffe · Ian Fischer · Joshua Dillon
[ OpenReview
Session
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 4
Registration Desk
Tue May 02 11:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Invited Talk
Tue May 02 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Dialogue Research in the Era of LLMs
Dilek Hakkani-Tur
Break
Wed May 03 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD1 None
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Alexander Tyurin · Peter Richtarik
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD10 None
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng · Maria Attarian · brian ichter · Krzysztof Choromanski · Adrian Wong · Stefan Welker · Federico Tombari · Aveek Purohit · Michael Ryoo · Vikas Sindhwani · Johnny Lee · Vincent Vanhoucke · Pete Florence
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD12 None
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Dan Fu · Tri Dao · Khaled Saab · Armin Thomas · Atri Rudra · Christopher Re
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD11 None
Progress measures for grokking via mechanistic interpretability
Neel Nanda · Lawrence Chan · Tom Lieberum · Jess Smith · Jacob Steinhardt
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 5 Track 3: Deep Learning and representational learning
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 5 Track 4: Applications & Optimization
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 5 Track 2: Optimization
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Localized Randomized Smoothing for Collective Robustness Certification
Jan Schuchardt · Tom Wollschläger · Aleksandar Bojchevski · Stephan Günnemann
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD1 None
Single-shot General Hyper-parameter Optimization for Federated Learning
Yi Zhou · Parikshit Ram · Theodoros Salonidis · Nathalie Baracaldo · Horst Samulowitz · Heiko Ludwig
In-Person Oral presentation / top 5% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Kangjie Chen · Xiaoxuan Lou · Guowen Xu · Jiwei Li · Tianwei Zhang
In-Person Oral presentation / top 5% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD12 None
Relative representations enable zero-shot latent space communication
Luca Moschella · Valentino Maiorca · Marco Fumero · Antonio Norelli · Francesco Locatello · Emanuele Rodolà
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen · Weiran Yao · Xiangchen Song · Xinyue Li · Yongming Rao · Kun Zhang
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD11 None
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
Eoin Kenny · Mycal Tucker · Julie Shah
In-Person Oral presentation / top 5% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
Joel Dapello · Kohitij Kar · Martin Schrimpf · Robert Geary · Michael Ferguson · David Cox · James DiCarlo
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD12 None
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
Aleksandar Pavlović · Emanuel Sallinger
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD10 None
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou · Uri Alon · Frank F Xu · Zhengbao Jiang · Graham Neubig
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD11 None
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen · Tsui-Wei Weng
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Distilling Model Failures as Directions in Latent Space
Saachi Jain · Hannah Lawrence · Ankur Moitra · Aleksander Madry
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD1 None
FedExP: Speeding Up Federated Averaging via Extrapolation
Divyansh Jhunjhunwala · Shiqiang Wang · Gauri Joshi
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
In-Person Oral presentation / top 5% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD10 None
View Synthesis with Sculpted Neural Points
Yiming Zuo · Jia Deng
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD11 None
Model-based Causal Bayesian Optimization
Scott Sussex · Anastasia Makarova · Andreas Krause
In-Person Oral presentation / top 5% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Graph Neural Networks for Link Prediction with Subgraph Sketching
Benjamin Chamberlain · Sergey Shirobokov · Emanuele Rossi · Fabrizio Frasca · Thomas Markovich · Nils Hammerla · Michael Bronstein · Max Hansmire
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
A Primal-Dual Framework for Transformers and Neural Networks
TAN NGUYEN · Tam Nguyen · Nhat Ho · Andrea Bertozzi · Richard Baraniuk · Stanley J Osher
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD1 None
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Zhihao Shi · Xize Liang · Jie Wang
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD10 None
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang · Li Dong · Hangbo Bao · Xinggang Wang · Furu Wei
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
In-Person Oral presentation / top 5% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Visual Classification via Description from Large Language Models
Sachit Menon · Carl Vondrick
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD12 None
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD1 None
Multi-Objective Online Learning
Jiyan Jiang · Wenpeng Zhang · Shiji Zhou · Lihong Gu · Xiaodong Zeng · Wenwu Zhu
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD11 None
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang · Xin Liu · Jiang Wu · Silviu Borac · Dina Katabi · Ming-Zher Poh · Daniel McDuff
In-Person Oral presentation / top 25% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz · Yannis Kalantidis · Karteek Alahari · Diane Larlus
[ Slides
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD12 None
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Duc Hoang · Shiwei Liu · Radu Marculescu · Zhangyang Wang
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
Heshan Fernando · Han Shen · Miao Liu · Subhajit Chaudhury · Keerthiram Murugesan · Tianyi Chen
In-Person Oral presentation / top 25% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD1 None
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · alain rakotomamonjy · patrick gallinari
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie · Christos Tsirigotis · Max Schwarzer · Ankit Vani · Mikhail Noukhovitch · Kenji Kawaguchi · Aaron Courville
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Rujikorn Charakorn · Poramate Manoonpong · Nat Dilokthanakul
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ AD12 None
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan
Break
Wed May 03 02:30 AM -- 04:30 AM (PDT) None
Lunch
In-Person presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #148
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
Brandon Trabucco · Gunnar Sigurdsson · Robinson Piramuthu · Gaurav Sukhatme · Ruslan Salakhutdinov
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye · Doyoung Kim · Joel Jang · Joongbo Shin · Minjoon Seo
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Globally Injective ReLU Networks
Michael Puthawala · Konik Kothari · Matti Lassas · Ivan Dokmanić · Maarten V de Hoop
[ JMLR
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
View Synthesis with Sculpted Neural Points
Yiming Zuo · Jia Deng
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng · Maria Attarian · brian ichter · Krzysztof Choromanski · Adrian Wong · Stefan Welker · Federico Tombari · Aveek Purohit · Michael Ryoo · Vikas Sindhwani · Johnny Lee · Vincent Vanhoucke · Pete Florence
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
Calibrating Sequence likelihood Improves Conditional Language Generation
Yao Zhao · Misha Khalman · Rishabh Joshi · Shashi Narayan · Mohammad Saleh · Peter Liu
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou · Uri Alon · Frank F Xu · Zhengbao Jiang · Graham Neubig
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
DamoFD: Digging into Backbone Design on Face Detection
Yang Liu · Jiankang Deng · Fei Wang · Lei Shang · Xuansong Xie · Baigui Sun
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Kangjie Chen · Xiaoxuan Lou · Guowen Xu · Jiwei Li · Tianwei Zhang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu · Zi Xuan Zhang · Atharva Naik · Zhijian Mei · Mauajama Firdaus · Lili Mou
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin SU · Jungo Kasai · Chen Henry Wu · Weijia Shi · Tianlu Wang · Jiayi Xin · Rui Zhang · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Tao Yu
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
The KFIoU Loss for Rotated Object Detection
Xue Yang · Yue Zhou · Gefan Zhang · Jirui Yang · Wentao Wang · Junchi Yan · XIAOPENG ZHANG · Qi Tian
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
Evangelos Chatzipantazis · Stefanos Pertigkiozoglou · Edgar Dobriban · Kostas Daniilidis
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Perfectly Secure Steganography Using Minimum Entropy Coupling
Christian Schroeder de Witt · Samuel Sokota · Zico Kolter · Jakob Foerster · Martin Strohmeier
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
SLTUNET: A Simple Unified Model for Sign Language Translation
Biao Zhang · Mathias Müller · Rico Sennrich
[ Slides [ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Visual Classification via Description from Large Language Models
Sachit Menon · Carl Vondrick
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
Jie Zhu · Huabin Huang · Banghuai Li · Leye Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Hai Ci · Mickel Liu · Xuehai Pan · Fangwei Zhong · Yizhou Wang
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
AnyDA: Anytime Domain Adaptation
Omprakash Chakraborty · Aadarsh Sahoo · Rameswar Panda · Abir Das
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
SMART: Sentences as Basic Units for Text Evaluation
Reinald Kim Amplayo · Peter Liu · Yao Zhao · Shashi Narayan
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
GAIN: On the Generalization of Instructional Action Understanding
Junlong Li · Guangyi Chen · Yansong Tang · Jinan Bao · Kun Zhang · Jie Zhou · Jiwen Lu
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Mohammad Amin Shabani · Amir Abdi · Lili Meng · Tristan Sylvain
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
Niv Cohen · Jonathan Kahana · Yedid Hoshen
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu · Hong-in Lee · Jeong-Hoon Lee · Jongeun Choi
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
Ansong Ni · Jeevana Priya Inala · Chenglong Wang · Alex Polozov · Christopher Meek · Dragomir Radev · Jianfeng Gao
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
Penghao Wu · Li Chen · Hongyang Li · Xiaosong Jia · Junchi Yan · Yu Qiao
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Chang Liu · Zetian Jiang · Runzhong Wang · Lingxiao Huang · Pinyan Lu · Junchi Yan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang · Qitan Wu · Jiahua Wang · Junchi Yan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
Graph Neural Networks for Link Prediction with Subgraph Sketching
Benjamin Chamberlain · Sergey Shirobokov · Emanuele Rossi · Fabrizio Frasca · Thomas Markovich · Nils Hammerla · Michael Bronstein · Max Hansmire
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um · Jiwoong Park · Seulki Park · Jin Choi
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse tree-based Initialization for Neural Networks
Patrick Lutz · Ludovic Arnould · Claire Boyer · Erwan Scornet
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Duc Hoang · Shiwei Liu · Radu Marculescu · Zhangyang Wang
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
Liquid Structural State-Space Models
Ramin Hasani · Mathias Lechner · Johnson (Tsun-Hsuan) Wang · Makram Chahine · Alexander Amini · Daniela Rus
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Predictive Inference with Feature Conformal Prediction
Jiaye Teng · Chuan Wen · Dinghuai Zhang · Yoshua Bengio · Yang Gao · Yang Yuan
[ Poster [ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
Aleksandar Pavlović · Emanuel Sallinger
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang · Junjie Ye · Feng Liu · Quanyu Dai · Marcus Kalander · Tongliang Liu · Jianye HAO · Bo Han
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Improving Deep Regression with Ordinal Entropy
Shihao Zhang · Linlin Yang · Michael Bi Mi · Xiaoxu Zheng · Angela Yao
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
How I Learned to Stop Worrying and Love Retraining
Max Zimmer · Christoph Spiegel · Sebastian Pokutta
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Distilling Model Failures as Directions in Latent Space
Saachi Jain · Hannah Lawrence · Ankur Moitra · Aleksander Madry
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Efficient Edge Inference by Selective Query
Anil Kag · Igor Fedorov · Aditya Gangrade · Paul Whatmough · Venkatesh Saligrama
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
Chengzhi Mao · Scott Geng · Junfeng Yang · Xin Wang · Carl Vondrick
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
A Primal-Dual Framework for Transformers and Neural Networks
TAN NGUYEN · Tam Nguyen · Nhat Ho · Andrea Bertozzi · Richard Baraniuk · Stanley J Osher
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #80
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Dan Fu · Tri Dao · Khaled Saab · Armin Thomas · Atri Rudra · Christopher Re
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
Yoonho Lee · Huaxiu Yao · Chelsea Finn
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki Asano · Aaqib Saeed
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Puja Trivedi · Danai Koutra · Jayaraman J. Thiagarajan
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja · Rachit Bansal · Kyunghyun Cho · João Sedoc · Naomi Saphra
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen · Weiran Yao · Xiangchen Song · Xinyue Li · Yongming Rao · Kun Zhang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Confidence Estimation Using Unlabeled Data
Chen Li · Xiaoling Hu · Chao Chen
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
NORM: Knowledge Distillation via N-to-One Representation Matching
Xiaolong Liu · Lujun Li · Chao Li · Anbang Yao
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Shengnan An · Zeqi Lin · Bei Chen · Qiang Fu · Nanning Zheng · Jian-Guang Lou
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #88
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
Andrew Patterson · Adam White · Martha White
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Jiefeng Chen · Timothy Nguyen · Dilan Gorur · Arslan Chaudhry
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Deep Learning on Implicit Neural Representations of Shapes
Luca De Luigi · Adriano Cardace · Riccardo Spezialetti · Pierluigi Zama Ramirez · Samuele Salti · Luigi Di Stefano
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang · Hao Chen · Qiang Heng · Wenxin Hou · Yue Fan · Zhen Wu · Jindong Wang · Marios Savvides · Takahiro Shinozaki · Bhiksha Raj · Bernt Schiele · Xing Xie
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Bias Propagation in Federated Learning
Hongyan Chang · Reza Shokri
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
Zhijie Nie · Richong Zhang · Yongyi Mao
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #73
Relative representations enable zero-shot latent space communication
Luca Moschella · Valentino Maiorca · Marco Fumero · Antonio Norelli · Francesco Locatello · Emanuele Rodolà
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz · Yannis Kalantidis · Karteek Alahari · Diane Larlus
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #74
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Cian Eastwood · Andrei L Nicolicioiu · Julius von Kügelgen · Armin Kekic · Frederik Träuble · Andrea Dittadi · Bernhard Schoelkopf
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
Recursive Time Series Data Augmentation
Amine Aboussalah · Minjae Kwon · Raj Patel · Cheng Chi · Chi-Guhn Lee
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong · Zekun Qi · Linfeng Zhang · Junbo Zhang · Jianjian Sun · Zheng Ge · Li Yi · Kaisheng Ma
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
Leveraging Importance Weights in Subset Selection
Gui Citovsky · Giulia DeSalvo · Sanjiv Kumar · Srikumar Ramalingam · Afshin Rostamizadeh · Yunjuan Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #76
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking · Nicholas Roberts · Willie Neiswanger · Stefano Ermon · Frederic Sala · Artur Dubrawski
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
Discovering Evolution Strategies via Meta-Black-Box Optimization
Robert Lange · Tom Schaul · Yutian Chen · Tom Zahavy · Valentin Dalibard · Chris Lu · Satinder Singh · Sebastian Flennerhag
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
DAG Learning on the Permutahedron
Valentina Zantedeschi · Luca Franceschi · Jean Kaddour · Matt Kusner · Vlad Niculae
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Kernel Neural Optimal Transport
Alexander Korotin · Daniil Selikhanovych · Evgeny Burnaev
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
DiGress: Discrete Denoising diffusion for graph generation
Clément Vignac · Igor Krawczuk · Antoine Siraudin · Bohan Wang · Volkan Cevher · Pascal Frossard
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Neural Architecture Design and Robustness: A Dataset
Steffen Jung · Jovita Lukasik · Margret Keuper
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
An Extensible Multi-modal Multi-task Object Dataset with Materials
Trevor Standley · Ruohan Gao · Dawn Chen · Jiajun Wu · Silvio Savarese
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu · Fanbo Xiang · Xuanlin Li · Zhan Ling · Xiqiang Liu · Tongzhou Mu · Yihe Tang · Stone Tao · Xinyue Wei · Yunchao Yao · Xiaodi Yuan · Pengwei Xie · Zhiao Huang · Rui Chen · Hao Su
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter · Rianne van den Berg · Max Welling · Jayesh Gupta
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Ingrid von Glehn · James Spencer · David Pfau
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #129
Learning differentiable solvers for systems with hard constraints
Geoffrey Négiar · Michael W Mahoney · Aditi Krishnapriyan
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Learning Domain-Agnostic Representation for Disease Diagnosis
Churan Wang · Jing Li · Xinwei Sun · Fandong Zhang · Yizhou Yu · Yizhou Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
GAMR: A Guided Attention Model for (visual) Reasoning
Mohit Vaishnav · Thomas Serre
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
Laurent Condat · Peter Richtarik
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Finding Actual Descent Directions for Adversarial Training
Fabian Latorre · Igor Krawczuk · Leello Dadi · Thomas Pethick · Volkan Cevher
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Alexander Tyurin · Peter Richtarik
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Zhihao Shi · Xize Liang · Jie Wang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen JIANG · Hansi Yang · Yu Zhang · James Kwok
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
Heshan Fernando · Han Shen · Miao Liu · Subhajit Chaudhury · Keerthiram Murugesan · Tianyi Chen
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
FedExP: Speeding Up Federated Averaging via Extrapolation
Divyansh Jhunjhunwala · Shiqiang Wang · Gauri Joshi
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Multi-Objective Online Learning
Jiyan Jiang · Wenpeng Zhang · Shiji Zhou · Lihong Gu · Xiaodong Zeng · Wenwu Zhu
[ OpenReview
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Single-shot General Hyper-parameter Optimization for Federated Learning
Yi Zhou · Parikshit Ram · Theodoros Salonidis · Nathalie Baracaldo · Horst Samulowitz · Heiko Ludwig
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Marco Bornstein · Tahseen Rabbani · Evan Wang · Amrit Bedi · Furong Huang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang · Laurence Aitchison
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · LIN Yong · Tong Zhang
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Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Calibrating Transformers via Sparse Gaussian Processes
Wenlong Chen · Yingzhen Li
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #167
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan · Huan Zhang · Cho-Jui Hsieh
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Measuring axiomatic soundness of counterfactual image models
Miguel Monteiro · Fabio De Sousa Ribeiro · Nick Pawlowski · Daniel Castro · Ben Glocker
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang · Aaron Courville · Yoshua Bengio · Qinqing Zheng · Amy Zhang · Ricky T. Q. Chen
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Model-based Causal Bayesian Optimization
Scott Sussex · Anastasia Makarova · Andreas Krause
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Hybrid RL: Using both offline and online data can make RL efficient
Yuda Song · Yifei Zhou · Ayush Sekhari · Drew Bagnell · Akshay Krishnamurthy · Wen Sun
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
Deyao Zhu · Li Li · Mohamed Elhoseiny
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Rujikorn Charakorn · Poramate Manoonpong · Nat Dilokthanakul
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
User-Interactive Offline Reinforcement Learning
Phillip Swazinna · Steffen Udluft · Thomas A. Runkler
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #117
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua · Yubei Chen · Huazhe Xu
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc G Bellemare
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
David Mguni · Aivar Sootla · Juliusz Ziomek · Oliver Slumbers · Zipeng Dai · Kun Shao · Jun Wang
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitan Wu · Yiting Chen · Chenxiao Yang · Junchi Yan
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
Planning with Sequence Models through Iterative Energy Minimization
Hongyi Chen · Yilun Du · Yiye Chen · Joshua B Tenenbaum · Patricio Vela
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Localized Randomized Smoothing for Collective Robustness Certification
Jan Schuchardt · Tom Wollschläger · Aleksandar Bojchevski · Stephan Günnemann
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Robust Explanation Constraints for Neural Networks
Matthew Wicker · Juyeon Heo · Luca Costabello · Adrian Weller
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns · Haotian Ye · Dan Klein · Jacob Steinhardt
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Strategic Classification with Graph Neural Networks
Itay Eilat · Ben Finkelshtein · Chaim Baskin · Nir Rosenfeld
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
Concept Gradient: Concept-based Interpretation Without Linear Assumption
Andrew Bai · Chih-Kuan Yeh · Neil Lin · Pradeep K Ravikumar · Cho-Jui Hsieh
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
A law of adversarial risk, interpolation, and label noise
Daniel Paleka · Amartya Sanyal
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski · Om Thakkar · Florian Tramer · Daphne Ippolito · Katherine Lee · Nicholas Carlini · Eric Wallace · Shuang Song · Abhradeep Guha Thakurta · Nicolas Papernot · Chiyuan Zhang
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
Progress measures for grokking via mechanistic interpretability
Neel Nanda · Lawrence Chan · Tom Lieberum · Jess Smith · Jacob Steinhardt
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
Xudong Han · Timothy Baldwin · Trevor Cohn
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen · Tsui-Wei Weng
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Individual Privacy Accounting with Gaussian Differential Privacy
Antti Koskela · Marlon Tobaben · Antti Honkela
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
Temporal Dependencies in Feature Importance for Time Series Prediction
Kin Kwan Leung · Clayton Rooke · Jonathan Smith · Saba Zuberi · Maksims Volkovs
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Explaining RL Decisions with Trajectories
Shripad Deshmukh · Arpan Dasgupta · Balaji Krishnamurthy · Nan Jiang · Chirag Agarwal · Georgios Theocharous · Jayakumar Subramanian
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Stochastic Differentially Private and Fair Learning
Andrew Lowy · Devansh Gupta · Meisam Razaviyayn
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
Eoin Kenny · Mycal Tucker · Julie Shah
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
How robust is unsupervised representation learning to distribution shift?
Yuge Shi · Imant Daunhawer · Julia E Vogt · Philip Torr · Amartya Sanyal
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Xinyi Wu · Zhengdao Chen · William Wang · Ali Jadbabaie
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
On the Saturation Effect of Kernel Ridge Regression
Yicheng Li · Haobo Zhang · Qian Lin
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Characterizing the spectrum of the NTK via a power series expansion
Michael Murray · Hui Jin · Benjamin Bowman · Guido Montufar
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Collaborative Pure Exploration in Kernel Bandit
Yihan Du · Wei Chen · Yuko Kuroki · Longbo Huang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Learning ReLU networks to high uniform accuracy is intractable
Julius Berner · Philipp Grohs · Felix Voigtlaender
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
Understanding The Robustness of Self-supervised Learning Through Topic Modeling
Zeping Luo · Shiyou Wu · Cindy Weng · Mo Zhou · Rong Ge
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Bidirectional Language Models Are Also Few-shot Learners
Ajay Patel · Bryan Li · Mohammad Rasooli · Noah Constant · Colin Raffel · Chris Callison-Burch
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Xueyi Liu · Ji Zhang · Ruizhen Hu · Haibin Huang · He Wang · Li Yi
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
From $t$-SNE to UMAP with contrastive learning
Sebastian Damrich · Niklas Böhm · Fred A Hamprecht · Dmitry Kobak
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie · Christos Tsirigotis · Max Schwarzer · Ankit Vani · Mikhail Noukhovitch · Kenji Kawaguchi · Aaron Courville
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang · Li Dong · Hangbo Bao · Xinggang Wang · Furu Wei
[ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang · Xin Liu · Jiang Wu · Silviu Borac · Dina Katabi · Ming-Zher Poh · Daniel McDuff
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
What Do Self-Supervised Vision Transformers Learn?
Namuk Park · Wonjae Kim · Byeongho Heo · Taekyung Kim · Sangdoo Yun
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
Human-level Atari 200x faster
Steven Kapturowski · Víctor Campos · Ray Jiang · Nemanja Rakicevic · Hado van Hasselt · Charles Blundell · Adria Puigdomenech Badia
[ OpenReview
Session
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 5
Town Hall
Wed May 03 03:30 AM -- 04:00 AM (PDT) @ AD12 None
Town Hall: LLMs in the ICLR Writing Process?
Alexander Rush · Been Kim · Yan Liu
Invited Talk
Wed May 03 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
Learned optimizers: why they're the future, why they’re hard, and what they can do now
Jascha Sohl-Dickstein
Break
Wed May 03 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Remarks
Wed May 03 05:30 AM -- 05:35 AM (PDT) @ Auditorium None
Closing Ceremony
Affinity Event
Wed May 03 06:00 AM -- 08:00 AM (PDT) @ Radisson Blu Hotel - Landre Terrace None
Women in Machine Learning Social
Tatjana Chavdarova · Caroline Weis
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
Language Modelling with Pixels
Phillip Rust · Jonas F. Lotz · Emanuele Bugliarello · Elizabeth Salesky · Miryam de Lhoneux · Desmond Elliott
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini · Martin Jaggi · François Fleuret · Sai Karimireddy
In-Person Oral presentation / top 25% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Binding Language Models in Symbolic Languages
Zhoujun Cheng · Tianbao Xie · Peng Shi · Chengzu Li · Rahul Nadkarni · Yushi Hu · Caiming Xiong · Dragomir Radev · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Tao Yu
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD1 None
Near-optimal Coresets for Robust Clustering
Lingxiao Huang · Shaofeng Jiang · Jianing Lou · Xuan Wu
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD11 None
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
Siwei Chen · Yiqing Xu · Cunjun Yu · Linfeng Li · Xiao Ma · Zhongwen Xu · David Hsu
In-Person Oral presentation / top 25% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Unsupervised Model Selection for Time Series Anomaly Detection
Mononito Goswami · Cristian Challu · Laurent Callot · Lenon Minorics · Andrey Kan
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 6 Track 2: Infrastructure & Social Aspects of Machine Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 6 Track 5: Applications- & Deep Learning and representational learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 6 Track 6: Deep Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 6 Track 1: Theory
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 6 Track 4: Applications & Social Aspects of Machine Learning & General Machine Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 6 Track 3: Deep Learning and representational learning
In-Person Oral presentation / top 25% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD10 None
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu · Yao Feng · Michael J Black · Derek Nowrouzezahrai · Liam Paull · Weiyang Liu
[ Slides
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD12 None
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD1 None
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
In-Person Oral presentation / top 25% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
Parametrizing Product Shape Manifolds by Composite Networks
Josua Sassen · Klaus Hildebrandt · Martin Rumpf · Benedikt Wirth
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD11 None
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Choe · Willie Neiswanger · Pengtao Xie · Eric Xing
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD4 None
A Kernel Perspective of Skip Connections in Convolutional Networks
Daniel Barzilai · Amnon Geifman · Meirav Galun · Ronen Basri
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD10 None
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
Zihui Xue · Zhengqi Gao · Sucheng Ren · Hang Zhao
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu · Markus Holzleitner · Maximilian Beck · Hoan Nguyen · Andrea Huber · Hamid Eghbalzadeh · Bernhard A. Moser · Sergei Pereverzyev · Sepp Hochreiter · Werner Zellinger
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD1 None
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu · Yuanzhi Li
In-Person Oral presentation / top 25% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Badr Youbi Idrissi · Diane Bouchacourt · Randall Balestriero · Ivan Evtimov · Caner Hazirbas · Nicolas Ballas · Pascal Vincent · Michal Drozdzal · David Lopez-Paz · Mark Ibrahim
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD11 None
WikiWhy: Answering and Explaining Cause-and-Effect Questions
Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang
[ Slides
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD4 None
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao · Jeffrey Zhao · Dian Yu · Nan Du · Izhak Shafran · Karthik Narasimhan · Yuan Cao
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD10 None
AutoGT: Automated Graph Transformer Architecture Search
Zizhao Zhang · Xin Wang · Chaoyu Guan · Ziwei Zhang · Haoyang Li · Wenwu Zhu
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD11 None
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong · Yongxin Yang · Timothy Hospedales
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ Auditorium None
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu · Xufang Luo · Dongsheng Li
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD1 None
Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler · Alexander Heckett · Andrej Risteski
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Encoding Recurrence into Transformers
Feiqing Huang · Kexin Lu · Yuxi Cai · Zhen Qin · Yanwen Fang · Guangjian Tian · Guodong Li
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD4 None
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
Ido Galil · Mohammed Dabbah · Ran El-Yaniv
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang · Jiwen Yu · Jian Zhang
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi · Piotr Indyk · Praneeth Kacham · Sandeep Silwal · Samson Zhou
In-Person Oral presentation / top 5% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Donggyun Kim · Jinwoo Kim · Seongwoong Cho · Chong Luo · Seunghoon Hong
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
Dual Algorithmic Reasoning
Danilo Numeroso · Davide Bacciu · Petar Veličković
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD11 None
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn · Yarin Gal · Sebastian Farquhar
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Packed Ensembles for efficient uncertainty estimation
Olivier Laurent · Adrien Lafage · Enzo Tartaglione · Geoffrey Daniel · Jean-marc Martinez · Andrei Bursuc · Gianni Franchi
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD10 None
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai · Chao Huang · Lianghao Xia · Xubin Ren
In-Person Oral presentation / top 5% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD11 None
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
Ali Shahin Shamsabadi · Sierra Wyllie · Nicholas Franzese · Natalie Dullerud · Sébastien Gambs · Nicolas Papernot · Xiao Wang · Adrian Weller
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ Auditorium None
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu · Chenxiao Yang · Wentao Zhao · Yixuan He · David Wipf · Junchi Yan
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD1 None
Depth Separation with Multilayer Mean-Field Networks
Yunwei Ren · Mo Zhou · Rong Ge
In-Person Oral presentation / top 5% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Simplified State Space Layers for Sequence Modeling
Jimmy Smith · andrew warrington · Scott Linderman
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD10 None
Certified Training: Small Boxes are All You Need
Mark N Müller · Franziska Eckert · Marc Fischer · Martin Vechev
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
Do-Yeon Kim · Dong-Jun Han · Jun Seo · Jaekyun Moon
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Learning with Stochastic Orders
Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh
[ Slides
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Disparate Impact in Differential Privacy from Gradient Misalignment
Maria Esipova · Atiyeh Ashari Ghomi · Yaqiao Luo · Jesse Cresswell
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue'
In-Person Oral presentation / top 5% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Sparse Mixture-of-Experts are Domain Generalizable Learners
Bo Li · Yifei Shen · Jingkang Yang · Yezhen Wang · Jiawei Ren · Tong Che · Jun Zhang · Ziwei Liu
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko · Pavel Izmailov · Andrew Wilson
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD1 None
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Samuel Lanthaler · Roberto Molinaro · Patrik Hadorn · Siddhartha Mishra
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Swarnadeep Saha · Shiyue Zhang · Peter Hase · Mohit Bansal
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
Binding Language Models in Symbolic Languages
Zhoujun Cheng · Tianbao Xie · Peng Shi · Chengzu Li · Rahul Nadkarni · Yushi Hu · Caiming Xiong · Dragomir Radev · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Tao Yu
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
Tribhuvanesh Orekondy · Kumar Pratik Kumar Pratik · Shreya Kadambi · Hao Ye · Joseph Soriaga · Arash Behboodi
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber · Rishab Goel · Daniel Zheng · Hugo Larochelle · Daniel Tarlow
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #36
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan · Hugo Silva · Sungsu Lim · Tadashi Kozuno · A. Rupam Mahmood · Martha White
[ JMLR
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #169
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao · Jeffrey Zhao · Dian Yu · Nan Du · Izhak Shafran · Karthik Narasimhan · Yuan Cao
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #55
Automating Nearest Neighbor Search Configuration with Constrained Optimization
Philip Sun · Ruiqi Guo · Sanjiv Kumar
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
Marco Avella Medina · José Luis Montiel Olea · Cynthia Rush · Amilcar Velez
[ JMLR
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #35
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park · Hobin Ryu · Yunseo Yang · Jegyeong Cho · Jiwon Kim · Kuk-Jin Yoon
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova · Sergei Troshin
[ Slides [ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
GOOD: Exploring geometric cues for detecting objects in an open world
Haiwen Huang · Andreas Geiger · Dan Zhang
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
Short-Term Memory Convolutions
Grzegorz Stefański · Krzysztof Arendt · Paweł Daniluk · Bartłomiej Jasik · Artur Szumaczuk
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang · Jiwen Yu · Jian Zhang
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang · Jeff Z. HaoChen · Shih-Cheng Huang · Kuan-Chieh Wang · James Y Zou · Serena Yeung
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
Yuxin Zhang · Mingbao Lin · Xunchao Li · Han Liu · Guozhi Wang · Fei Chao · Ren Shuai · Yafei Wen · Xiaoxin Chen · Rongrong Ji
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
Zhenxing Mi · Dan Xu
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Is Attention All That NeRF Needs?
Mukund Varma T · Peihao Wang · Xuxi Chen · Tianlong Chen · Subhashini Venugopalan · Zhangyang Wang
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
Tianxiang Hao · Hui Chen · Yuchen Guo · Guiguang Ding
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
Joya Chen · Kai Xu · Yuhui Wang · Yifei Cheng · Angela Yao
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
Yu Yu · Hassan Sajjad · Jia Xu
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charlie Snell · Ilya Kostrikov · Yi Su · Sherry Yang · Sergey Levine
[ Slides [ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai · Chao Huang · Lianghao Xia · Xubin Ren
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Language Modelling with Pixels
Phillip Rust · Jonas F. Lotz · Emanuele Bugliarello · Elizabeth Salesky · Miryam de Lhoneux · Desmond Elliott
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
Hao-Wen Dong · Naoya Takahashi · Yuki Mitsufuji · Julian McAuley · Taylor Berg-Kirkpatrick
[ Slides [ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #167
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
Ido Galil · Mohammed Dabbah · Ran El-Yaniv
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
Reversible Column Networks
Yuxuan Cai · Yizhuang Zhou · Qi Han · Jianjian Sun · Xiangwen Kong · Jun Li · Xiangyu Zhang
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
AutoGT: Automated Graph Transformer Architecture Search
Zizhao Zhang · Xin Wang · Chaoyu Guan · Ziwei Zhang · Haoyang Li · Wenwu Zhu
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin · Kenny Smith
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Equivariance-aware Architectural Optimization of Neural Networks
Kaitlin Maile · Dennis Wilson · Patrick Forré
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
Semi-Parametric Inducing Point Networks and Neural Processes
Richa Rastogi · Yair Schiff · Alon Hacohen · Zhaozhi Li · Yi-Yuan Lee · Yuntian Deng · Mert Sabuncu · Volodymyr Kuleshov
[ Slides [ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Parametrizing Product Shape Manifolds by Composite Networks
Josua Sassen · Klaus Hildebrandt · Martin Rumpf · Benedikt Wirth
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitan Wu · Chenxiao Yang · Wentao Zhao · Yixuan He · David Wipf · Junchi Yan
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
PowerQuant: Automorphism Search for Non-Uniform Quantization
Edouard YVINEC · Arnaud Dapogny · MATTHIEU CORD · Kevin Bailly
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen · Yubin Shi · Mingzhi Dong · Xiaochen Yang · Dongsheng Li · Yujiang Wang · Robert Dick · Qin Lv · Yingying Zhao · Fan Yang · Ning Gu · Li Shang
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko · Pavel Izmailov · Andrew Wilson
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song · Chenghu Zhou · Xinbing Wang · Zhouhan Lin
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang · Pranay Sharma · Parikshit Ram · Mingyi Hong · Kush Varshney · Sijia Liu
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
Dual Algorithmic Reasoning
Danilo Numeroso · Davide Bacciu · Petar Veličković
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Badr Youbi Idrissi · Diane Bouchacourt · Randall Balestriero · Ivan Evtimov · Caner Hazirbas · Nicolas Ballas · Pascal Vincent · Michal Drozdzal · David Lopez-Paz · Mark Ibrahim
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
Wei Ming Neo · Zhehui Wang · Cheng Liu · Rick Goh · Tao Luo
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #59
Composing Ensembles of Pre-trained Models via Iterative Consensus
Shuang Li · Yilun Du · Joshua B Tenenbaum · Antonio Torralba · Igor Mordatch
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang · Alyssa Li Dayan · Franziska Meier · Thomas L. Griffiths · Sergey Levine · Amy Zhang
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
Sajad Movahedi · Melika Adabinejad · Ayyoob Imani · Arezou Keshavarz · Mostafa Dehghani · Azadeh Shakery · Babak Araabi
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
Encoding Recurrence into Transformers
Feiqing Huang · Kexin Lu · Yuxi Cai · Zhen Qin · Yanwen Fang · Guangjian Tian · Guodong Li
[ Poster [ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini · Martin Jaggi · François Fleuret · Sai Karimireddy
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
Bobby He · James Martens · Guodong Zhang · Aleksandar Botev · Andrew Brock · Samuel L Smith · Yee Whye Teh
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Xuxi Chen · Qiao Xiao · Boqian Wu · Tommi Kärkkäinen · Mykola Pechenizkiy · Decebal Constantin Mocanu · Zhangyang Wang
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu · Markus Holzleitner · Maximilian Beck · Hoan Nguyen · Andrea Huber · Hamid Eghbalzadeh · Bernhard A. Moser · Sergei Pereverzyev · Sepp Hochreiter · Werner Zellinger
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim · Byeonggeun Kim · Jaegul Choo · Sungha Choi
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma · Claudio Fantacci · Yuxiang Zhou · Skanda Koppula · Nicolas Heess · Jonathan Scholz · Yusuf Aytar
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
Verifying the Union of Manifolds Hypothesis for Image Data
Bradley Brown · Anthony Caterini · Brendan Ross · Jesse Cresswell · Gabriel Loaiza-Ganem
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Unveiling the sampling density in non-uniform geometric graphs
Raffaele Paolino · Aleksandar Bojchevski · Stephan Günnemann · Gitta Kutyniok · Ron Levie
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Geometrically regularized autoencoders for non-Euclidean data
Cheongjae Jang · Yonghyeon Lee · Yung-Kyun Noh · Frank Chongwoo Park
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #84
Simplified State Space Layers for Sequence Modeling
Jimmy Smith · andrew warrington · Scott Linderman
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #66
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu · Xufang Luo · Dongsheng Li
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #85
Write and Paint: Generative Vision-Language Models are Unified Modal Learners
Shizhe Diao · Wangchunshu Zhou · Xinsong Zhang · Jiawei Wang
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Benfeng Xu · Quan Wang · Zhendong Mao · Yajuan Lyu · Qiaoqiao She · Yongdong Zhang
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
Seohyeon Jung · Sanghyun Kim · Juho Lee
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #151
Packed Ensembles for efficient uncertainty estimation
Olivier Laurent · Adrien Lafage · Enzo Tartaglione · Geoffrey Daniel · Jean-marc Martinez · Andrei Bursuc · Gianni Franchi
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #68
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin · Kornrapat Pongmala · Yizheng Chen · Nicholas Carlini · David Wagner
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Effectively Modeling Time Series with Simple Discrete State Spaces
Michael Zhang · Khaled Saab · Michael Poli · Tri Dao · Karan Goel · Christopher Re
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
Do-Yeon Kim · Dong-Jun Han · Jun Seo · Jaekyun Moon
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Understanding the Covariance Structure of Convolutional Filters
Asher Trockman · Devin Willmott · Zico Kolter
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
Zihui Xue · Zhengqi Gao · Sucheng Ren · Hang Zhao
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Donggyun Kim · Jinwoo Kim · Seongwoong Cho · Chong Luo · Seunghoon Hong
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
Hyperparameter Optimization through Neural Network Partitioning
Bruno Mlodozeniec · Matthias Reisser · Christos Louizos
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #168
Unsupervised Model Selection for Time Series Anomaly Detection
Mononito Goswami · Cristian Challu · Laurent Callot · Lenon Minorics · Andrey Kan
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #90
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
Xiaojun Guo · Yifei Wang · Tianqi Du · Yisen Wang
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer · Max Horn · Andrii Zadaianchuk · Dominik Zietlow · Tianjun Xiao · Carl-Johann Simon-Gabriel · Tong He · Zheng Zhang · Bernhard Schoelkopf · Thomas Brox · Francesco Locatello
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth · Mark Ibrahim · Zeynep Akata · Pascal Vincent · Diane Bouchacourt
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
Alexandre DEVILLERS · Mathieu Lefort
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
When to Make and Break Commitments?
Alihan Hüyük · Zhaozhi Qian · Mihaela van der Schaar
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
Yun-Chen Lo · Tse-Kuang Lee · Ren-Shuo Liu
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara · Antonious Bebawy · Deepesh Data · Suhas Diggavi
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
Blurring Diffusion Models
Emiel Hoogeboom · Tim Salimans
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Neural Implicit Shape Editing using Boundary Sensitivity
Arturs Berzins · Moritz Ibing · Leif Kobbelt
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu · Yao Feng · Michael J Black · Derek Nowrouzezahrai · Liam Paull · Weiyang Liu
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Efficient Federated Domain Translation
Zeyu Zhou · Sheikh Shams Azam · Christopher Brinton · David Inouye
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Choe · Willie Neiswanger · Pengtao Xie · Eric Xing
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
Yulhwa Kim · Jaeyong Jang · Jehun Lee · Jihoon Park · Jeonghoon Kim · Byeonguk Kim · baeseong park · Se Jung Kwon · Dongsoo Lee · jae-joon kim
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
Johnson (Tsun-Hsuan) Wang · Pingchuan Ma · Andrew Spielberg · Zhou Xian · Hao Zhang · Joshua B Tenenbaum · Daniela Rus · Chuang Gan
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
WikiWhy: Answering and Explaining Cause-and-Effect Questions
Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
Siwei Chen · Yiqing Xu · Cunjun Yu · Linfeng Li · Xiao Ma · Zhongwen Xu · David Hsu
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams · Connor Coley
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
Multiple sequence alignment as a sequence-to-sequence learning problem
Edo Dotan · Yonatan Belinkov · Oren Avram · Elya Wygoda · Noa Ecker · Michael Alburquerque · Omri Keren · Gil Loewenthal · Tal Pupko
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Context-enriched molecule representations improve few-shot drug discovery
Johannes Schimunek · Philipp Seidl · Lukas Friedrich · Daniel Kuhn · Friedrich Rippmann · Sepp Hochreiter · Günter Klambauer
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
David Lipshutz · Cengiz Pehlevan · Dmitri Chklovskii
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Hanseul Cho · Chulhee Yun
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In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
Tao Li · Zhehao Huang · Qinghua Tao · Yingwen Wu · Xiaolin Huang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick · Olivier Fercoq · Puya Latafat · Panagiotis Patrinos · Volkan Cevher
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
Alex Gu · Songtao Lu · Parikshit Ram · Tsui-Wei Weng
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
Fast Nonlinear Vector Quantile Regression
Aviv A. Rosenberg · Sanketh Vedula · Yaniv Romano · Alexander Bronstein
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Meta Temporal Point Processes
Wonho Bae · Mohamed Ahmed · Frederick Tung · Gabriel Oliveira
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Riemannian Metric Learning via Optimal Transport
Christopher Basil Scarvelis · Justin Solomon
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas PIERROT · Arthur Flajolet
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du · Siwei Wang · Longbo Huang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Zhendong Wang · Jonathan J Hunt · Mingyuan Zhou
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Scaling Laws for a Multi-Agent Reinforcement Learning Model
Oren Neumann · Claudius Gros
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
Raj Ghugare · Homanga Bharadhwaj · Benjamin Eysenbach · Sergey Levine · Russ Salakhutdinov
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
Impossibly Good Experts and How to Follow Them
Aaron Walsman · Muru Zhang · Sanjiban Choudhury · Dieter Fox · Ali Farhadi
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Reward Design with Language Models
Minae Kwon · Sang Michael Xie · Kalesha Bullard · Dorsa Sadigh
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Zhang-Wei Hong · Pulkit Agrawal · Remi Tachet des Combes · Romain Laroche
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
Visual Imitation Learning with Patch Rewards
Minghuan Liu · Tairan He · Weinan Zhang · shuicheng YAN · Zhongwen Xu
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #101
Backstepping Temporal Difference Learning
Han-Dong Lim · Donghwan Lee
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Expressive Monotonic Neural Networks
Niklas Nolte · Ouail Kitouni · Mike Williams
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn · Yarin Gal · Sebastian Farquhar
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
Certified Training: Small Boxes are All You Need
Mark N Müller · Franziska Eckert · Marc Fischer · Martin Vechev
[ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
Ali Shahin Shamsabadi · Sierra Wyllie · Nicholas Franzese · Natalie Dullerud · Sébastien Gambs · Nicolas Papernot · Xiao Wang · Adrian Weller
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong · Yongxin Yang · Timothy Hospedales
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue'
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Disparate Impact in Differential Privacy from Gradient Misalignment
Maria Esipova · Atiyeh Ashari Ghomi · Yaqiao Luo · Jesse Cresswell
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
Jeremy Tien · Zhiyang He · Zackory Erickson · Anca Dragan · Daniel Brown
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
Hong-Min Chu · Jonas Geiping · Liam H Fowl · Micah Goldblum · Tom Goldstein
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Label-free Concept Bottleneck Models
Tuomas Oikarinen · Subhro Das · Lam Nguyen · Tsui-Wei Weng
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
On The Specialization of Neural Modules
Devon Jarvis · Richard Klein · Benjamin Rosman · Andrew Saxe
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #134
Depth Separation with Multilayer Mean-Field Networks
Yunwei Ren · Mo Zhou · Rong Ge
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Pitfalls of Gaussians as a noise distribution in NCE
Holden Lee · Chirag Pabbaraju · Anish Sevekari · Andrej Risteski
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
Near-optimal Coresets for Robust Clustering
Lingxiao Huang · Shaofeng Jiang · Jianing Lou · Xuan Wu
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Towards convergence to Nash equilibria in two-team zero-sum games
Foivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis
[ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Foivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
Yeshwanth Cherapanamjeri · Sandeep Silwal · David Woodruff · Fred Zhang · Qiuyi Zhang · Samson Zhou
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
Maksim Velikanov · Denis Kuznedelev · Dmitry Yarotsky
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Variance-Aware Sparse Linear Bandits
Yan Dai · Ruosong Wang · Simon Du
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Strong inductive biases provably prevent harmless interpolation
Michael Aerni · Marco Milanta · Konstantin Donhauser · Fanny Yang
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi · Piotr Indyk · Praneeth Kacham · Sandeep Silwal · Samson Zhou
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
Zeyuan Allen-Zhu · Yuanzhi Li
[ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
Xiang Wang · Annie Wang · Mo Zhou · Rong Ge
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler · Alexander Heckett · Andrej Risteski
[ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Samuel Lanthaler · Roberto Molinaro · Patrik Hadorn · Siddhartha Mishra
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Learning in temporally structured environments
Matt Jones · Tyler Scott · Mengye Ren · Gamaleldin Elsayed · Katherine Hermann · David Mayo · Michael Mozer
[ Poster [ OpenReview
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #150
A Kernel Perspective of Skip Connections in Convolutional Networks
Daniel Barzilai · Amnon Geifman · Meirav Galun · Ronen Basri
[ Poster [ OpenReview
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #160
Learning with Stochastic Orders
Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh
[ Slides [ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
DAVA: Disentangling Adversarial Variational Autoencoder
Benjamin Estermann · Roger Wattenhofer
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei · Mohammadreza Salehi · Sajjad Shahabi · Efstratios Gavves · Cees G Snoek · Mohammad Sabokrou · Mohammad Hossein Rohban
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
Beomseok Kang · Biswadeep Chakraborty · Saibal Mukhopadhyay
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty · Saibal Mukhopadhyay
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #145
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu · Nikita Dvornik · Klaus Greff · Thomas Kipf · Animesh Garg
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
A Message Passing Perspective on Learning Dynamics of Contrastive Learning
Yifei Wang · Qi Zhang · Tianqi Du · Jiansheng Yang · Zhouchen Lin · Yisen Wang
[ OpenReview
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Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #146
Universal Approximation Theorems for Differentiable Geometric Deep Learning
Anastasis Kratsios · Léonie Papon
[ Poster [ JMLR
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo · Yifei Wang · Yisen Wang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
Kaifeng Zhang · Yang Fu · Shubhankar Borse · Hong Cai · Fatih Porikli · Xiaolong Wang
[ Poster [ OpenReview
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
Youngwan Lee · Jeff Willette · Jonghee Kim · Juho Lee · Sung Ju Hwang
[ Poster [ OpenReview
Session
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 6
Registration Desk
Wed May 03 10:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Affinity Workshop
Wed May 03 11:20 PM -- 09:00 AM (PDT) @ MH2 None
Joint IndabaXRwanda / BlackInAI
Bruno Ssekiwere · Pierrette M. MASTEL · Amal Rannen-Triki · Ulrich Paquet · Moayad Elamin · Khalil Liouane
Affinity Workshop
Wed May 03 11:30 PM -- 08:00 AM (PDT) @ MH3 None
Kaggle@ICLR 2023: ML Solutions in Africa
Julia Elliott · Walter Reade · Ray Harvey · Phil Culliton
Workshop
Wed May 03 11:45 PM -- 08:30 AM (PDT) @ AD12 None
Trustworthy and Reliable Large-Scale Machine Learning Models
Yu Cheng · Boxin Wang · Bo Li · Tom Goldstein · Sanmi Koyejo · Yejin Choi
Workshop
Thu May 04 12:00 AM -- 08:00 AM (PDT) @ Virtual None
Trustworthy Machine Learning for Healthcare
Hao CHEN · Luyang Luo · Daguang Xu · Varut Vardhanabhuti · Yuyin Zhou · Jing Qin · Yueming Jin · Marius George Linguraru · Pheng-Ann Heng · Le Lu · Danny Chen · Kwang-Ting Cheng
Workshop
Thu May 04 12:00 AM -- 09:00 AM (PDT) @ AD4 None
AI for Agent-Based Modelling (AI4ABM)
Christian Schroeder de Witt · Sumitra Ganesh · Ani Calinescu · Yang Zhang · Ayush Chopra · Swapneel Mehta · Pablo Samuel Castro · Jakob Foerster
Workshop
Thu May 04 12:00 AM -- 08:00 AM (PDT) @ AD1 None
Reincarnating Reinforcement Learning
Rishabh Agarwal · Ted Xiao · Yanchao Sun · Max Schwarzer · Susan Zhang
Workshop
Thu May 04 12:00 AM -- 09:45 AM (PDT) @ Auditorium None
Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges
Konstantin Klemmer · Sasha Luccioni · Simone Fobi · Rasika Bhalerao · Utkarsha Agwan · Marcus Voss · Olalekan Akintande · Yoshua Bengio
Workshop
Thu May 04 12:00 AM -- 09:00 AM (PDT) @ MH1 None
Physics for Machine Learning
T. Konstantin Rusch · Aditi Krishnapriyan · Emmanuel de Bézenac · Ben Chamberlain · Elise van der Pol · Patrick Kidger
Workshop
Thu May 04 12:15 AM -- 07:45 AM (PDT) @ AD10 None
Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)
Ananya Kumar · Tengyu Ma · Tiffany Vlaar · Aditi Raghunathan · Hanie Sedghi · Yamini Bansal · Sang Michael Xie · Percy Liang · Mathilde Caron
Break
Thu May 04 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
Workshop
Thu May 04 12:40 AM -- 09:05 AM (PDT) @ MH4 None
Neural Fields across Fields: Methods and Applications of Implicit Neural Representations
Hyunjik Kim · Emilien Dupont · Jonathan Schwarz · Thu Nguyen-Phuoc · Srinath Sridhar · Vincent Sitzmann
Workshop
Thu May 04 01:00 AM -- 09:40 AM (PDT) @ Virtual None
What do we need for successful domain generalization?
Aniket Anand Deshmukh · Henry Gouk · Da Li · Cuiling Lan · Kaiyang Zhou · Timothy Hospedales
Workshop
Thu May 04 01:00 AM -- 10:00 AM (PDT) @ AD11 None
Neurosymbolic Generative Models (NeSy-GeMs)
Thiviyan Thanapalasingam · Emile van Krieken · Halley Young · Disha Shrivastava · Kevin Ellis · Jakub Tomczak
Break
Thu May 04 03:00 AM -- 04:30 AM (PDT) None
Lunch
Break
Thu May 04 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Workshop
Thu May 04 06:00 AM -- 03:00 PM (PDT) @ Virtual None
From Molecules to Materials: ICLR 2023 Workshop on Machine learning for materials (ML4Materials)
Tian Xie · Xiang Fu · Simon Batzner · Hanchen Wang · Adji Dieng · Ekin Cubuk · Elsa Olivetti · Kristin Persson · Tommi Jaakkola · Max Welling
Registration Desk
Thu May 04 10:00 PM -- 03:00 AM (PDT) None
Registration / Check-in
Workshop
Thu May 04 11:50 PM -- 08:30 AM (PDT) @ AD1 None
Scene Representations for Autonomous Driving
Hongyang Li · Mengye Ren · Li Chen · Chonghao Sima · Kashyap Chitta · Holger Caesar · Ping Luo · Wei Zhang
Affinity Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ MH4 None
Tiny Papers Showcase Day (a DEI initiative)
Krystal Maughan · Thomas F Burns · Rosanne Liu
Workshop
Fri May 05 12:00 AM -- 09:00 AM (PDT) @ MH2 None
Pitfalls of limited data and computation for Trustworthy ML
Amartya Sanyal · Alexandru Tifrea · Ankit Pensia · Franziska Boenisch · Varun Kanade · Fanny Yang · Prateek Jain · Sara Hooker · Jamie Morgenstern
Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ MH1 None
The 4th Workshop on practical ML for Developing Countries: learning under limited/low resource settings
Girmaw Abebe Tadesse · Esube Bekele · Timnit Gebru · Matimba Shingange · Waheeda Saib · Luis Oala · Aisha Alaagib
Workshop
Fri May 05 12:00 AM -- 10:00 AM (PDT) @ AD12 None
ICLR 2023 Workshop on Sparsity in Neural Networks: On practical limitations and tradeoffs between sustainability and efficiency
Baharan Mirzasoleiman · Zhangyang Wang · Decebal Constantin Mocanu · Elena Mocanu · Utku Evci · Trevor Gale · Aleksandra Nowak · Ghada Sokar · Zahra Atashgahi
Workshop
Fri May 05 12:00 AM -- 08:30 AM (PDT) @ MH3 None
ICLR 2023 Workshop on Machine Learning for Remote Sensing
Hannah Kerner · Hamed Alemohammad · Moise Busogi · Ronny Hänsch · Gedeon Muhawenayo · Catherine L Nakalembe · Ange Tesire · Gabriel Tseng · Ivan Zvonkov
Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ AD10 None
First workshop on "Machine Learning & Global Health".
Elizaveta Semenova · Seth Flaxman · Swapnil Mishra · Abraham Owodunni · Timothy Wolock · Juliette Unwin · Emmanuelle Dankwa · Adam Howes
Workshop
Fri May 05 12:00 AM -- 09:00 AM (PDT) @ Virtual None
Multimodal Representation Learning (MRL): Perks and Pitfalls
Adrián Javaloy · Miguel Vasco · Imant Daunhawer · Petra Poklukar · Yuge Shi · Danica Kragic · Isabel Valera
Break
Fri May 05 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
Workshop
Fri May 05 01:00 AM -- 10:00 AM (PDT) @ Auditorium None
4th Workshop on African Natural Language Processing (AfricaNLP 2023)
Bonaventure Dossou · Constantine Lignos · Hady Elsahar · David Adelani · Atnafu Lambebo Tonja · Salomey Osei · Happy Buzaaba · Clemencia N Siro · Vukosi Marivate · shamsuddeen muhammad · Tajuddeen Gwadabe · Anuoluwapo Aremu
Workshop
Fri May 05 01:10 AM -- 10:00 AM (PDT) @ Virtual None
Time Series Representation Learning for Health
Heike Leutheuser · Laura Manduchi · Alexander Marx · Emanuele Palumbo · Ece Özkan Elsen · Julia Vogt
Workshop
Fri May 05 02:00 AM -- 11:00 AM (PDT) @ Virtual None
Machine Learning for Drug Discovery (MLDD)
Pascal Notin · Sonali Parbhoo · Patrick Schwab · Ece Özkan Elsen · Stefan Bauer · Debora Marks · Yarin Gal · Ashkan Soleymani · Clare Lyle · Max Shen · Ehsan Hajiramezanali
Break
Fri May 05 03:00 AM -- 04:30 AM (PDT) None
Lunch
Break
Fri May 05 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Workshop
Fri May 05 05:30 AM -- 02:00 PM (PDT) @ Virtual None
Deep Learning for Code (DL4C)
Torsten Scholak · Zijian Wang · Disha Shrivastava · Gabriel Orlanski · Devjeet Roy
Workshop
Fri May 05 05:30 AM -- 02:30 PM (PDT) @ Virtual None
Machine Learning for IoT: Datasets, Perception, and Understanding
Xinyu Zhang · Tauhidur Rahman · Yuan Yuan · Ke Sun · Yuanyuan Yang · Brad Campbell · Zhiting Hu
Workshop
Fri May 05 06:00 AM -- 03:05 PM (PDT) @ Virtual None
Backdoor Attacks and Defenses in Machine Learning
Guanhong Tao · Kaiyuan Zhang · Shawn Shan · Emily Wenger · Rui Zhu · Eugene Bagdasaryan · Naren Sarayu Manoj · Taylor Kulp-McDowall · Yousra Aafer · Shiqing Ma · Xiangyu Zhang