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Remarks
Mon Apr 25 12:00 AM -- 12:55 AM (PDT)
Opening Remarks
Yan Liu · Chelsea Finn · Marc Deisenroth · Yejin Choi
Invited Talk
Mon Apr 25 01:00 AM -- 02:15 AM (PDT)
Leveraging AI for Science
Pushmeet Kohli
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
High Probability Generalization Bounds with Fast Rates for Minimax Problems
Shaojie Li · Yong Liu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
Hyeonmin Ha · Ji Hoon Kim · Semin Park · Byung-Gon Chun
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Milad Alizadeh · Shyam Tailor · Luisa Zintgraf · Joost van Amersfoort · Sebastian Farquhar · Nicholas Lane · Yarin Gal
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
baeseong park · Se Jung Kwon · Daehwan Oh · Byeonguk Kim · Dongsoo Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo · Yuxian Qiu · Jingwen Leng · Xiaotian Gao · Chen Zhang · Yunxin Liu · Fan Yang · Yuhao Zhu · Minyi Guo
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali · Zhenyu Liao · Romain Couillet
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Bayesian Neural Network Priors Revisited
Vincent Fortuin · Adrià Garriga-Alonso · Sebastian Ober · Florian Wenzel · Gunnar Ratsch · Richard E Turner · Mark van der Wilk · Laurence Aitchison
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
Iro Laina · Yuki Asano · Andrea Vedaldi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu · Yunlong Jiao · Jordan Massiah · Emine Yilmaz · Serhii Havrylov
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Adversarial Retriever-Ranker for Dense Text Retrieval
Hang Zhang · Yeyun Gong · Yelong Shen · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo · Jiankang Deng · Alexandros Lattas · Stefanos Zafeiriou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe · Taco Cohen · Efstratios Gavves
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao · Yuewen Sun · Alex Ho · Changyin Sun · Kun Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Imbedding Deep Neural Networks
Andrew Corbett · Dmitry Kangin
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty · Yanfei Dong · Wee Sun Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Liudmila Prokhorenkova · Dmitry Baranchuk · Nikolay Bogachev · Yury Demidovich · Alexander Kolpakov
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Joint Shapley values: a measure of joint feature importance
Chris Harris · Richard Pymar · Colin Rowat
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Zih-Syuan Huang · Ching-pei Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Stability Regularization for Discrete Representation Learning
Adeel Pervez · Efstratios Gavves
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka · Takahisa Imagawa · Taisei Hashimoto · Takashi Onishi · Yoshimasa Tsuruoka
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Scale Mixtures of Neural Network Gaussian Processes
Hyungi Lee · Eunggu Yun · Hongseok Yang · Juho Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning to Generalize across Domains on Single Test Samples
Zehao Xiao · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
End-to-End Learning of Probabilistic Hierarchies on Graphs
Daniel Zügner · Bertrand Charpentier · Morgane Ayle · Sascha Geringer · Stephan Günnemann
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi · Martin Danelljan · Danda Paudel · Luc Van Gool
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Generalisation in Lifelong Reinforcement Learning through Logical Composition
Geraud Nangue Tasse · Steven James · Benjamin Rosman
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Zhenyu Zhu · Fabian Latorre · Grigorios Chrysos · Volkan Cevher
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle · Sebastian Borgeaud · Jean-Baptiste Alayrac · Carl Doersch · Catalin Ionescu · Fengning Ding · Skanda Koppula · Daniel Zoran · Andrew Brock · Evan Shelhamer · Olivier Henaff · Matthew Botvinick · Andrew Zisserman · Oriol Vinyals · Joao Carreira
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosted Curriculum Reinforcement Learning
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Yuanxiong Guo · Ying Sun · Rui Hu · Yanmin Gong
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Zhenqiao Song · Hao Zhou · Lihua Qian · Jingjing Xu · Shanbo Cheng · Mingxuan Wang · Lei Li
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
8-bit Optimizers via Block-wise Quantization
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren · Ruihan Guo · Yuan Zhou · Jian Peng
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Variational Neural Cellular Automata
Rasmus Palm · Miguel Gonzalez-Duque · Shyam Sudhakaran · Sebastian Risi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Topological Graph Neural Networks
Max Horn · Edward De Brouwer · Michael Moor · Yves Moreau · Bastian Rieck · Karsten Borgwardt
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Yatao Bian · Yu Rong · Tingyang Xu · Jiaxiang Wu · Andreas Krause · Junzhou Huang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Autoregressive Diffusion Models
Emiel Hoogeboom · Alexey Gritsenko · Jasmijn Bastings · Ben Poole · Rianne van den Berg · Tim Salimans
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Generative Modeling with Optimal Transport Maps
Litu Rout · Alexander Korotin · Evgeny Burnaev
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Signing the Supermask: Keep, Hide, Invert
Nils Koster · Oliver Grothe · Achim Rettinger
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu · Zhiqiu Xu · Hung-Ju Wang · trevor darrell · Evan Shelhamer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang · Du Jiang · Di He · Liwei Wang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner · Maurice Weiler
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
Nikhil Ghosh · Song Mei · Bin Yu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Li Shen · Decebal Constantin Mocanu · Zhangyang Wang · Mykola Pechenizkiy
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Evidential Turing Processes
Melih Kandemir · Abdullah Akgül · Manuel Haussmann · Gozde Unal
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
Changchun Li · Ximing Li · Lei Feng · Jihong Ouyang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On Incorporating Inductive Biases into VAEs
Ning Miao · Emile Mathieu · Siddharth N · Yee Whye Teh · Tom Rainforth
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo · YI REN · Kory Mathewson · Simon Kirby · Stefano Albrecht · Kenny Smith
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Victor Weixin Liang · James Y Zou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Role of Pretrained Representations for the OOD Generalization of RL Agents
Frederik Träuble · Andrea Dittadi · Manuel Wuthrich · Felix Widmaier · Peter Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schoelkopf · Stefan Bauer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans · Jonathan Ho
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Memory Replay with Data Compression for Continual Learning
Liyuan Wang · Xingxing Zhang · Kuo Yang · Longhui Yu · Chongxuan Li · Lanqing HONG · Shifeng Zhang · Zhenguo Li · Yi Zhong · Jun Zhu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Ruibo Liu · CHONGYANG GAO · Chenyan Jia · Guangxuan Xu · Soroush Vosoughi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen · Han Yang · Yonggang Zhang · MA KAILI · Tongliang Liu · Bo Han · James Cheng
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Top-label calibration and multiclass-to-binary reductions
Chirag Gupta · Aaditya Ramdas
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Michael Rotman · Amit Dekel · shir gur · Yaron Oz · Lior Wolf
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Goal-Directed Planning via Hindsight Experience Replay
Lorenzo Moro · Amarildo Likmeta · Enrico Prati · Marcello Restelli
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
Fabio Ferreira · Thomas Nierhoff · Andreas Sälinger · Frank Hutter
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee · Heeseung Kim · Chaehun Shin · Xu Tan · Chang Liu · Qi Meng · Tao Qin · Wei Chen · Sungroh Yoon · Tie-Yan Liu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
Simin Hong · Anthony Cohn · David Hogg
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani · Fahad Sarfraz · Bahram Zonooz
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On the Existence of Universal Lottery Tickets
Rebekka Burkholz · Nilanjana Laha · Rajarshi Mukherjee · Alkis Gotovos
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu · Tianlong Chen · Zahra Atashgahi · Xiaohan Chen · Ghada Sokar · Elena Mocanu · Mykola Pechenizkiy · Zhangyang Wang · Decebal Constantin Mocanu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu · Shuaifeng Zhi · Edward Johns · Andrew Davison
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Constrained Policy Optimization via Bayesian World Models
Yarden As · Ilnura Usmanova · Sebastian Curi · Andreas Krause
Spotlight
Mon Apr 25 02:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren · Ruihan Guo · Yuan Zhou · Jian Peng
Spotlight
Mon Apr 25 02:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans · Jonathan Ho
Spotlight
Mon Apr 25 02:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Yuanxiong Guo · Ying Sun · Rui Hu · Yanmin Gong
Spotlight
Mon Apr 25 02:30 AM (PDT)
8-bit Optimizers via Block-wise Quantization
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
Spotlight
Mon Apr 25 02:30 AM (PDT)
Constrained Policy Optimization via Bayesian World Models
Yarden As · Ilnura Usmanova · Sebastian Curi · Andreas Krause
Spotlight
Mon Apr 25 02:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
Spotlight
Mon Apr 25 02:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson
Spotlight
Mon Apr 25 02:30 AM (PDT)
Imbedding Deep Neural Networks
Andrew Corbett · Dmitry Kangin
Spotlight
Mon Apr 25 02:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Spotlight
Mon Apr 25 02:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle · Sebastian Borgeaud · Jean-Baptiste Alayrac · Carl Doersch · Catalin Ionescu · Fengning Ding · Skanda Koppula · Daniel Zoran · Andrew Brock · Evan Shelhamer · Olivier Henaff · Matthew Botvinick · Andrew Zisserman · Oriol Vinyals · Joao Carreira
Spotlight
Mon Apr 25 02:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf
Invited Talk
Mon Apr 25 09:00 AM -- 10:15 AM (PDT)
Beyond interpretability: developing a language to shape our relationships with AI
Been Kim
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Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin · Etienne Denis · Jiapeng Wu · William Hamilton
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continual Learning with Filter Atom Swapping
Zichen Miao · Ze Wang · Wei Chen · Qiang Qiu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Relating transformers to models and neural representations of the hippocampal formation
James Whittington · Joseph Warren · Timothy Behrens
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Visual Correspondence Hallucination
Hugo Germain · Vincent Lepetit · Guillaume Bourmaud
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Mapping Language Models to Grounded Conceptual Spaces
Roma Patel · Ellie Pavlick
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta · Mohammad Rastegari
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
Sarath Sreedharan · Utkarsh Soni · Mudit Verma · Siddharth Srivastava · Subbarao Kambhampati
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Understanding Intrinsic Robustness Using Label Uncertainty
XIAO ZHANG · David Evans
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Network Augmentation for Tiny Deep Learning
Han Cai · Chuang Gan · Ji Lin · Song Han
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin · Yaqi Duan · Mengdi Wang · Yu-Xiang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.
Seyed Omid Davoudi · Majid Komeili
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell · David Chiang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla · Soheil Feizi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu · Tsung-Yi Lin · Weicheng Kuo · Yin Cui
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Controlling Directions Orthogonal to a Classifier
Yilun Xu · Hao He · Tianxiao Shen · Tommi Jaakkola
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen · Cho-Jui Hsieh · Boqing Gong
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Spherical Message Passing for 3D Molecular Graphs
Yi Liu · Limei Wang · Meng Liu · Yuchao Lin · Xuan Zhang · Bora Oztekin · Shuiwang Ji
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
Peihao Wang · Wenqing Zheng · Tianlong Chen · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Revisiting Design Choices in Offline Model Based Reinforcement Learning
Cong Lu · Philip Ball · Jack Parker-Holder · Michael Osborne · S Roberts
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fair Normalizing Flows
Mislav Balunovic · Anian Ruoss · Martin Vechev
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri · Heinrich Jiang · Yi Tay · Donald Metzler
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan · Yuda Song · Zhengyi Luo · Wen Sun · Kris Kitani
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Privacy Implications of Shuffling
Casey Meehan · Amrita Roy Chowdhury · Kamalika Chaudhuri · Somesh Jha
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
shuai ZHANG · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria · Leello Dadi · Grigorios Chrysos · Julien Mairal · Volkan Cevher
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
Ruilin Li · Hongyuan Zha · Molei Tao
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Effect of scale on catastrophic forgetting in neural networks
Vinay Ramasesh · Aitor Lewkowycz · Ethan Dyer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison · Rithesh Kumar · Kundan Kumar · Prem Seetharaman · Aaron Courville · Yoshua Bengio
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn · Arash Vahdat · Karsten Kreis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning by Directional Gradient Descent
David Silver · Anirudh Goyal · Ivo Danihelka · Matteo Hessel · Hado van Hasselt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang · Weijiang Li · Xiaomeng Jin · Kyunghyun Cho · Heng Ji · Jiawei Han · Martin Burke
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Anisotropic Random Feature Regression in High Dimensions
Gabriel Mel · Jeffrey Pennington
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Yulun Wu · Nicholas Choma · Andrew Chen · Mikaela Cashman · Erica Teixeira Prates · Veronica Melesse Vergara · Manesh Shah · Austin Clyde · Thomas Brettin · Wibe de Jong · Neeraj Kumar · Martha Head · Rick Stevens · Peter Nugent · Daniel Jacobson · James Brown
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Fan Wu · Linyi Li · Huan Zhang · Bhavya Kailkhura · Krishnaram Kenthapadi · DING ZHAO · Bo Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Jianwen Xie · yaxuan zhu · Jun Li · Ping Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Actor-critic is implicitly biased towards high entropy optimal policies
Yuzheng Hu · Ziwei Ji · Matus Telgarsky
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How to deal with missing data in supervised deep learning?
Niels Ipsen · Pierre-Alexandre Mattei · Jes Frellsen
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Environment Predictive Coding for Visual Navigation
Santhosh Kumar Ramakrishnan · Tushar Nagarajan · Ziad Al-Halah · Kristen Grauman
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fast Model Editing at Scale
Eric Mitchell · Charles Lin · Antoine Bosselut · Chelsea Finn · Christopher Manning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
Bowen Shi · Wei-Ning Hsu · Kushal Lakhotia · Abdelrahman Mohamed
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Yash Mehta · Colin White · Arber Zela · Arjun Krishnakumar · Guri Zabergja · Shakiba Moradian · Mahmoud Safari · Kaicheng Yu · Frank Hutter
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
Aviral Kumar · Joey Hong · Anikait Singh · Sergey Levine
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta · Biswajit Paria · Jeff Schneider · Stefano Ermon · Willie Neiswanger
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu · Wenchao Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal · Aniket Didolkar · Alex Lamb · Kartikeya Badola · Nan Rosemary Ke · Nasim Rahaman · Jonathan Binas · Charles Blundell · Michael Mozer · Yoshua Bengio
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Exploring the Limits of Large Scale Pre-training
Samira Abnar · Mostafa Dehghani · Behnam Neyshabur · Hanie Sedghi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen · Wei-Chih Hung · Hung-Yu Tseng · Shao-Yi Chien · Ming-Hsuan Yang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
Jiawei Yang · Hanbo Chen · Jiangpeng Yan · Xiaoyu Chen · Jianhua Yao
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot · Thomas Steinke
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov · Ashvin Nair · Sergey Levine
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Modular Lifelong Reinforcement Learning via Neural Composition
Jorge Mendez · Harm van Seijen · ERIC EATON
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast topological clustering with Wasserstein distance
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu · Linyi Li · Zijian Huang · Yevgeniy Vorobeychik · DING ZHAO · Bo Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Adversarial Support Alignment
Shangyuan Tong · Timur Garipov · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang · David Zhang · Simon Lacoste-Julien · Gertjan J Burghouts · Cees G Snoek
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Peihao Zhu · Rameen Abdal · John Femiani · Peter Wonka
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning to Guide and to be Guided in the Architect-Builder Problem
Paul Barde · Tristan Karch · Derek Nowrouzezahrai · Clément Moulin-Frier · Chris J Pal · Pierre-Yves Oudeyer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Xiaohan Chen · Jason Zhang · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Critical Points in Quantum Generative Models
Eric Anschuetz
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Language-driven Semantic Segmentation
Boyi Li · Kilian Weinberger · Serge Belongie · Vladlen Koltun · Rene Ranftl
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Stochastic Training is Not Necessary for Generalization
Jonas Geiping · Micah Goldblum · Phil Pope · Michael Moeller · Tom Goldstein
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph Condensation for Graph Neural Networks
Wei Jin · Lingxiao Zhao · Shichang Zhang · Yozen Liu · Jiliang Tang · Neil Shah
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Contextualized Scene Imagination for Generative Commonsense Reasoning
PeiFeng Wang · Jonathan Zamora · Junfeng Liu · Filip Ilievski · Muhao Chen · Xiang Ren
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes · Florence Alberge · Pierre Duhamel · Pablo Piantanida
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EigenGame Unloaded: When playing games is better than optimizing
Ian Gemp · Brian McWilliams · Claire Vernade · Thore Graepel
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
RegionViT: Regional-to-Local Attention for Vision Transformers
Chun-Fu (Richard) Chen · Rameswar Panda · Quanfu Fan
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen · Liunian Li · Hao Tan · Mohit Bansal · Anna Rohrbach · Kai-Wei Chang · Zhewei Yao · Kurt Keutzer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang · Stephan Mandt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Neural Relational Inference with Node-Specific Information
Ershad Banijamali
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li · Jianwei Yang · Pengchuan Zhang · Mei Gao · Bin Xiao · Xiyang Dai · Lu Yuan · Jianfeng Gao
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun · Been Kim · Chun-Liang Li · Brendan Jou · Brian Eoff · Rosalind Picard
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast AdvProp
Jieru Mei · Yucheng Han · Yutong Bai · Yixiao Zhang · Yinigwei Li · xianhang li · Alan Yuille · Cihang Xie
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Xingyu Cai · Jiahong Yuan · Yuchen Bian · Guangxu Xun · Jiaji Huang · Kenneth Church
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable
Shaojin Ding · Tianlong Chen · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Morteza Ramezani · Weilin Cong · Mehrdad Mahdavi · Mahmut Kandemir · Anand Sivasubramaniam
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Optimizer Amalgamation
Tianshu Huang · Tianlong Chen · Sijia Liu · Shiyu Chang · Lisa Amini · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
FairCal: Fairness Calibration for Face Verification
Tiago Salvador · Stephanie Cairns · Vikram Voleti · Noah Marshall · Adam Oberman
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Illiterate DALL-E Learns to Compose
Gautam Singh · Fei Deng · Sungjin Ahn
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Distributional Reinforcement Learning with Monotonic Splines
Yudong Luo · Guiliang Liu · Haonan Duan · Oliver Schulte · Pascal Poupart
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles · Stefano Sabatini · Dzmitry Tsishkou · Bogdan Stanciulescu · Fabien Moutarde
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hierarchical Few-Shot Imitation with Skill Transition Models
Kourosh Hakhamaneshi · Ruihan Zhao · Albert Zhan · Pieter Abbeel · Michael Laskin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DEGREE: Decomposition Based Explanation for Graph Neural Networks
Qizhang Feng · Ninghao Liu · Fan Yang · Ruixiang Tang · Mengnan Du · Xia Hu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
PAC Prediction Sets Under Covariate Shift
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Auto-Transfer: Learning to Route Transferable Representations
Keerthiram Murugesan · Vijay Sadashivaiah · Ronny Luss · Karthikeyan Shanmugam · Pin-Yu Chen · Amit Dhurandhar
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Deep AutoAugment
Yu Zheng · Zhi Zhang · Shen Yan · Mi Zhang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Jennifer Gillenwater · Elvis Dohmatob · Amin Karbasi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Gradient Importance Learning for Incomplete Observations
Qitong Gao · Dong Wang · Joshua Amason · Siyang Yuan · Chenyang Tao · Ricardo Henao · Majda Hadziahmetovic · Lawrence Carin · Miroslav Pajic
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
Chaoyue Liu · Libin Zhu · Mikhail Belkin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
Yuqing Du · Pieter Abbeel · Aditya Grover
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training
PengCheng Yang · Xiaoming Zhang · Wenpeng Zhang · Ming Yang · Hong Wei
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Information-theoretic Online Memory Selection for Continual Learning
Shengyang Sun · Daniele Calandriello · Huiyi Hu · Ang Li · Michalis Titsias
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DictFormer: Tiny Transformer with Shared Dictionary
Qian Lou · Ting Hua · Yen-Chang Hsu · Yilin Shen · Hongxia Jin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Noisy Feature Mixup
Soon Hoe Lim · N. Benjamin Erichson · Francisco Utrera · Winnie Xu · Michael W Mahoney
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang · Jared Dunnmon · Khaled Saab · Xuan Zhang · Qianying Huang · Florian Dubost · Daniel Rubin · Christopher Lee-Messer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
junfeng guo · Ang Li · Cong Liu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao · Karsten Kreis · Arash Vahdat
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Quadtree Attention for Vision Transformers
Shitao Tang · Jiahui Zhang · Siyu Zhu · Ping Tan
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Yurong You · Katie Luo · Xiangyu Chen · Junan Chen · Wei-Lun Chao · Wen Sun · Bharath Hariharan · Mark Campbell · Kilian Weinberger
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Enyan Dai · Jie Chen
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Tuan Anh Le · Katherine Collins · Luke Hewitt · Kevin Ellis · Siddharth N · Samuel Gershman · Joshua B Tenenbaum
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
Zirui Liu · Kaixiong Zhou · Fan Yang · Li Li · Rui Chen · Xia Hu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Yunjiang Jiang · Han Zhang · Yiming Qiu · Yun Xiao · Bo Long · Wen-Yun Yang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu · Karan Goel · Christopher Re
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Real-Time Neural Voice Camouflage
Mia Chiquier · Chengzhi Mao · Carl Vondrick
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
Jaehyung Kim · Dongyeop Kang · Sungsoo Ahn · Jinwoo Shin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continuous-Time Meta-Learning with Forward Mode Differentiation
Tristan Deleu · David Kanaa · Leo Feng · Giancarlo Kerg · Yoshua Bengio · Guillaume Lajoie · Pierre-Luc Bacon
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Erik Nijkamp · Ruiqi Gao · Pavel Sountsov · Srinivas Vasudevan · Bo Pang · Song-Chun Zhu · Yingnian Wu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
A Generalized Weighted Optimization Method for Computational Learning and Inversion
Kui Ren · Yunan Yang · Björn Engquist
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca · Seong Joon Oh · Sanghyuk Chun · Michael Poli · Sangdoo Yun
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li · Shaobo Han · Martin Min · Dimitris Metaxas
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Cat Le · Juncheng Dong · Mohammadreza Soltani · VAHID TAROKH
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
Dian Wang · Robin Walters · Robert Platt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Xingyu Wang · Sewoong Oh · Chang-Han Rhee
Spotlight
Mon Apr 25 10:30 AM (PDT)
Revisiting Design Choices in Offline Model Based Reinforcement Learning
Cong Lu · Philip Ball · Jack Parker-Holder · Michael Osborne · S Roberts
Spotlight
Mon Apr 25 10:30 AM (PDT)
Controlling Directions Orthogonal to a Classifier
Yilun Xu · Hao He · Tianxiao Shen · Tommi Jaakkola
Spotlight
Mon Apr 25 10:30 AM (PDT)
Continual Learning with Filter Atom Swapping
Zichen Miao · Ze Wang · Wei Chen · Qiang Qiu
Spotlight
Mon Apr 25 10:30 AM (PDT)
On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
Spotlight
Mon Apr 25 10:30 AM (PDT)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri · Heinrich Jiang · Yi Tay · Donald Metzler
Spotlight
Mon Apr 25 10:30 AM (PDT)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao · Karsten Kreis · Arash Vahdat
Spotlight
Mon Apr 25 10:30 AM (PDT)
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen · Cho-Jui Hsieh · Boqing Gong
Spotlight
Mon Apr 25 10:30 AM (PDT)
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Enyan Dai · Jie Chen
Spotlight
Mon Apr 25 10:30 AM (PDT)
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Jennifer Gillenwater · Elvis Dohmatob · Amin Karbasi
Spotlight
Mon Apr 25 10:30 AM (PDT)
Exploring the Limits of Large Scale Pre-training
Samira Abnar · Mostafa Dehghani · Behnam Neyshabur · Hanie Sedghi
Spotlight
Mon Apr 25 10:30 AM (PDT)
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
Spotlight
Mon Apr 25 10:30 AM (PDT)
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
Spotlight
Mon Apr 25 10:30 AM (PDT)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn · Arash Vahdat · Karsten Kreis
Spotlight
Mon Apr 25 10:30 AM (PDT)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell · David Chiang
Spotlight
Mon Apr 25 10:30 AM (PDT)
Adversarial Support Alignment
Shangyuan Tong · Timur Garipov · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Spotlight
Mon Apr 25 10:30 AM (PDT)
Continuous-Time Meta-Learning with Forward Mode Differentiation
Tristan Deleu · David Kanaa · Leo Feng · Giancarlo Kerg · Yoshua Bengio · Guillaume Lajoie · Pierre-Luc Bacon
Spotlight
Mon Apr 25 10:30 AM (PDT)
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
Dian Wang · Robin Walters · Robert Platt
Spotlight
Mon Apr 25 10:30 AM (PDT)
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
Chaoyue Liu · Libin Zhu · Mikhail Belkin
Affinity Social
Mon Apr 25 12:00 PM -- 04:59 PM (PDT) @ Virtual
LatinX in AI (LXAI) Social @ ICLR 2022
Maria Luisa Santiago · Laura Montoya · Giancarlo Pablo · Wenbin Zhang
Affinity Social
Mon Apr 25 12:00 PM -- 02:00 PM (PDT)
WiML Virtual Social
Nezihe Merve Gürel · Caroline Weis · Soomin Aga Lee
Oral
Mon Apr 25 05:00 PM -- 05:15 PM (PDT)
Language modeling via stochastic processes
Rose Wang · Esin Durmus · Noah Goodman · Tatsunori Hashimoto
Oral
Mon Apr 25 05:00 PM -- 05:15 PM (PDT)
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot · Thomas Steinke
Oral
Mon Apr 25 05:15 PM -- 05:30 PM (PDT)
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang · Ruixuan Xiao · Yixuan Li · Lei Feng · Gang Niu · Gang Chen · Junbo Zhao
Oral
Mon Apr 25 05:15 PM -- 05:30 PM (PDT)
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Yusong Wu · Ethan Manilow · Yi Deng · Rigel Swavely · Kyle Kastner · Timotheus Cooijmans · Aaron Courville · Anna Huang · Jesse Engel
Oral
Mon Apr 25 05:30 PM -- 05:45 PM (PDT)
Real-Time Neural Voice Camouflage
Mia Chiquier · Chengzhi Mao · Carl Vondrick
Oral
Mon Apr 25 05:30 PM -- 05:45 PM (PDT)
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini · Andreas Terzis
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan · Yuda Song · Zhengyi Luo · Wen Sun · Kris Kitani
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Boris Oreshkin · Florent Bocquelet · Felix G. Harvey · Bay Raitt · Dominic Laflamme
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze · Kai Han · Andrea Vedaldi · Andrew Zisserman
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
Oral
Mon Apr 25 06:15 PM -- 06:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn
Oral
Mon Apr 25 06:15 PM -- 06:30 PM (PDT)
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
Yonathan Efroni · Dipendra Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
Shizhan Zhu · Sayna Ebrahimi · Angjoo Kanazawa · trevor darrell
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
Changhee Lee · Fergus Imrie · Mihaela van der Schaar
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Models for Output-Space Invariance in Combinatorial Problems
Yatin Nandwani · Vidit Jain · Mausam . · Parag Singla
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Xiaolong Ma · Minghai Qin · Fei Sun · Zejiang Hou · Kun Yuan · Yi Xu · Yanzhi Wang · Yen-Kuang Chen · Rong Jin · Yuan Xie
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Evaluation Metrics for Graph Generative Models
Rylee Thompson · Boris Knyazev · Elahe Ghalebi · Jungtaek Kim · Graham W Taylor
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Conditional Image Generation by Conditioning Variational Auto-Encoders
William Harvey · Saeid Naderiparizi · Frank Wood
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
Joonhyung Park · Jaeyun Song · Eunho Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Contextual Bandits with Deep Representation and Shallow Exploration
Pan Xu · Zheng Wen · Handong Zhao · Quanquan Gu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren · Tao Yang · Yuwang Wang · Wenjun Zeng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
The Close Relationship Between Contrastive Learning and Meta-Learning
Renkun Ni · Manli Shu · Hossein Souri · Micah Goldblum · Tom Goldstein
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan · Jaehong Yoon · Yuanchun Li · Yunxin Liu · Sung Ju Hwang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Geometric Transformers for Protein Interface Contact Prediction
Alex Morehead · Chen Chen · Jianlin Cheng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Probabilistic Implicit Scene Completion
Dongsu Zhang · Changwoon Choi · Inbum Park · Young Min Kim
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le · Stefanie Jegelka
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
Hwanjun Song · Deqing Sun · Sanghyuk Chun · Varun Jampani · Dongyoon Han · Byeongho Heo · Wonjae Kim · Ming-Hsuan Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji · Yiping Lu · Yiliang Zhang · Zhun Deng · Weijie J Su
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Ruihai Wu · Yan Zhao · Kaichun Mo · Zizheng Guo · Yian Wang · Tianhao Wu · Qingnan Fan · Xuelin Chen · Leonidas Guibas · Hao Dong
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Program Synthesis with Query
Di Huang · Rui Zhang · Xing Hu · Xishan Zhang · Pengwei Jin · Nan Li · Zidong Du · Qi Guo · Yunji Chen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
Jianda Chen · Sinno Pan
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
Zhuoning Yuan · Zhishuai Guo · Nitesh Chawla · Tianbao Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FastSHAP: Real-Time Shapley Value Estimation
Neil Jethani · Mukund Sudarshan · Ian Covert · Su-In Lee · Rajesh Ranganath
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Jiefeng Chen · Xi Wu · Yang Guo · Yingyu Liang · Somesh Jha
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta · Yutaka Matsuo · Shixiang Gu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Rethinking Adversarial Transferability from a Data Distribution Perspective
Yao Zhu · Jiacheng Sun · Zhenguo Li
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu · Leonidas Guibas · Jiajun Wu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Language modeling via stochastic processes
Rose Wang · Esin Durmus · Noah Goodman · Tatsunori Hashimoto
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu · Wei Fang · Jianhao Ding · PENGLIN DAI · Zhaofei Yu · Tiejun Huang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Beidi Chen · Tri Dao · Kaizhao Liang · Jiaming Yang · Zhao Song · Atri Rudra · Christopher Re
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FedBABU: Toward Enhanced Representation for Federated Image Classification
Jaehoon Oh · SangMook Kim · Se-Young Yun
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Weighted Training for Cross-Task Learning
Shuxiao Chen · Koby Crammer · Hangfeng He · Dan Roth · Weijie J Su
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck · Carla Gomes · Kilian Weinberger
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Zhimeng Jiang · Kaixiong Zhou · Zirui Liu · Li Li · Rui Chen · Soo-Hyun Choi · Xia Hu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Emergent Communication at Scale
Rahma Chaabouni · Florian Strub · Florent Altché · Eugene Tarassov · Corentin Tallec · Elnaz Davoodi · Kory Mathewson · Olivier Tieleman · Angeliki Lazaridou · Bilal Piot
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Learning with Recursive Gradient Optimization
Hao Liu · Huaping Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Task Relatedness-Based Generalization Bounds for Meta Learning
Jiechao Guan · Zhiwu Lu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu · Yulei Niu · Chunyan Miao · Xian-Sheng Hua · Hanwang Zhang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Objects in Semantic Topology
Shuo Yang · Peize Sun · Yi Jiang · Xiaobo Xia · Ruiheng Zhang · Zehuan Yuan · Changhu Wang · Ping Luo · Min Xu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Kirby Banman · Garnet Liam Peet-Pare · Nidhi Hegde · Alona Fyshe · Martha White
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo · Xiaodong Liu · Jian Jiao · Young Jin Kim · Hany Hassan Awadalla · Ruofei Zhang · Jianfeng Gao · Tuo Zhao
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Biwei Huang · Fan Feng · Chaochao Lu · Sara Magliacane · Kun Zhang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
Xiaoyu Liu · Jiahao Su · Furong Huang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
Chenxi Yang · Swarat Chaudhuri
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Understanding the Role of Self Attention for Efficient Speech Recognition
Kyuhong Shim · Jungwook Choi · Wonyong Sung
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang · baixu chen · Jianmin Wang · Mingsheng Long
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
Debasmit Das · Sungrack Yun · Fatih Porikli
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Ryo Karakida · Shotaro Akaho
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Continual Knowledge Learning of Language Models
Joel Jang · Seonghyeon Ye · Sohee Yang · Joongbo Shin · Janghoon Han · GyeongHun kim · Stanley Jungkyu Choi · Minjoon Seo
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Wei Huang · Yayong Li · weitao du · Richard Xu · Jie Yin · Ling Chen · Miao Zhang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Sachin Konan · Esmaeil Seraj · Matthew Gombolay
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
Lys Sanz Moreta · Ola Rønning · Ahmad Salim Al-Sibahi · Jotun Hein · Douglas Theobald · Thomas Hamelryck
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
Binjie Zhang · Yixiao Ge · Yantao Shen · Yu Li · Chun Yuan · XUYUAN XU · Yexin Wang · Ying Shan
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Efficient and Differentiable Conformal Prediction with General Function Classes
Yu Bai · Song Mei · Huan Wang · Yingbo Zhou · Caiming Xiong
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Jiaxian Guo · Mingming Gong · Dacheng Tao
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Path Integral Sampler: A Stochastic Control Approach For Sampling
Qinsheng Zhang · Yongxin Chen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Robust Prefix-Tuning for Text Classification
Zonghan Yang · Yang Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · Gang Niu · Mingyuan Zhou · Masashi Sugiyama
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon · Divyam Madaan · Eunho Yang · Sung Ju Hwang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
Yuning You · Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin · Xuanchi Ren · Chong Luo · Yuwang Wang · Zhiwei Xiong · Wenjun Zeng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Fast Generic Interaction Detection for Model Interpretability and Compression
Tianjian Zhang · Feng Yin · Zhi-Quan Luo
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan · Warren Morningstar · Lin Ning · Karan Singhal
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Automated Self-Supervised Learning for Graphs
Wei Jin · Xiaorui Liu · Xiangyu Zhao · Yao Ma · Neil Shah · Jiliang Tang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang · Qi Zhang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin · Jeremy Wohlwend · Regina Barzilay · Tommi Jaakkola
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
MoReL: Multi-omics Relational Learning
Arman Hasanzadeh · Ehsan Hajiramezanali · Nick Duffield · Xiaoning Qian
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu · Jihoon Tack · Sangwoo Mo · Hyunsu Kim · Junho Kim · Jung-Woo Ha · Jinwoo Shin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Trigger Hunting with a Topological Prior for Trojan Detection
Xiaoling Hu · Xiao Lin · Michael Cogswell · Yi Yao · Susmit Jha · Chao Chen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang Pham · Chenghao Liu · Steven HOI
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Bing Su · Ji-Rong Wen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian · Xavier Puig · Yonglong Tian · Phillip Isola
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Jaewoong Choi · Junho Lee · Changyeon Yoon · Jung Ho Park · Geonho Hwang · Myungjoo Kang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning
Kunchang Li · Yali Wang · Gao Peng · Guanglu Song · Yu Liu · Hongsheng Li · Yu Qiao
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee · Huiwen Chang · Lu Jiang · Han Zhang · Zhuowen Tu · Ce Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Target-Side Input Augmentation for Sequence to Sequence Generation
Shufang Xie · Ang Lv · Yingce Xia · Lijun Wu · Tao Qin · Tie-Yan Liu · Rui Yan
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke · Gianni De Fabritiis
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim · Kyeong Ryeol Go · Se-Young Yun
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan · Gargi Vaidya · Akshay Sarvesh · Dileep Kalathil · Srinivas Shakkottai
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang · Antoine Bosselut · Michihiro Yasunaga · Hongyu Ren · Percy Liang · Christopher Manning · Jure Leskovec
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Zhijian Yang · Junhao Wen · Christos Davatzikos
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Variational oracle guiding for reinforcement learning
Dongqi Han · Tadashi Kozuno · Xufang Luo · Zhao-Yun Chen · Kenji Doya · Yuqing Yang · Dongsheng Li
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Shaofeng Zhang · Feng Zhu · Junchi Yan · Rui Zhao · Xiaokang Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
GNN is a Counter? Revisiting GNN for Question Answering
Kuan Wang · Yuyu Zhang · Diyi Yang · Le Song · Tao Qin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On the Learning and Learnability of Quasimetrics
Tongzhou Wang · Phillip Isola
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo · Veronika Thost · Beichen Li · Payel Das · Jie Chen · Wojciech Matusik
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Regularized Autoencoders for Isometric Representation Learning
Yonghyeon LEE · Sangwoong Yoon · MinJun Son · Frank Park
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
BiBERT: Accurate Fully Binarized BERT
Haotong Qin · Yifu Ding · Mingyuan Zhang · Qinghua YAN · Aishan Liu · Qingqing Dang · Ziwei Liu · Xianglong Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu · Lantao Yu · Yang Song · Chence Shi · Stefano Ermon · Jian Tang
Spotlight
Mon Apr 25 06:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
Changhee Lee · Fergus Imrie · Mihaela van der Schaar
Spotlight
Mon Apr 25 06:30 PM (PDT)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · Gang Niu · Mingyuan Zhou · Masashi Sugiyama
Spotlight
Mon Apr 25 06:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
Zhuoning Yuan · Zhishuai Guo · Nitesh Chawla · Tianbao Yang
Spotlight
Mon Apr 25 06:30 PM (PDT)
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan · Gargi Vaidya · Akshay Sarvesh · Dileep Kalathil · Srinivas Shakkottai
Spotlight
Mon Apr 25 06:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le · Stefanie Jegelka
Spotlight
Mon Apr 25 06:30 PM (PDT)
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta · Yutaka Matsuo · Shixiang Gu
Spotlight
Mon Apr 25 06:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Biwei Huang · Fan Feng · Chaochao Lu · Sara Magliacane · Kun Zhang
Spotlight
Mon Apr 25 06:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang · Antoine Bosselut · Michihiro Yasunaga · Hongyu Ren · Percy Liang · Christopher Manning · Jure Leskovec
Spotlight
Mon Apr 25 06:30 PM (PDT)
Probabilistic Implicit Scene Completion
Dongsu Zhang · Changwoon Choi · Inbum Park · Young Min Kim
Spotlight
Mon Apr 25 06:30 PM (PDT)
Emergent Communication at Scale
Rahma Chaabouni · Florian Strub · Florent Altché · Eugene Tarassov · Corentin Tallec · Elnaz Davoodi · Kory Mathewson · Olivier Tieleman · Angeliki Lazaridou · Bilal Piot
Spotlight
Mon Apr 25 06:30 PM (PDT)
Task Relatedness-Based Generalization Bounds for Meta Learning
Jiechao Guan · Zhiwu Lu
Spotlight
Mon Apr 25 06:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Beidi Chen · Tri Dao · Kaizhao Liang · Jiaming Yang · Zhao Song · Atri Rudra · Christopher Re
Spotlight
Mon Apr 25 06:30 PM (PDT)
Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke · Gianni De Fabritiis
Spotlight
Mon Apr 25 06:30 PM (PDT)
Continual Learning with Recursive Gradient Optimization
Hao Liu · Huaping Liu
Spotlight
Mon Apr 25 06:30 PM (PDT)
ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee · Huiwen Chang · Lu Jiang · Han Zhang · Zhuowen Tu · Ce Liu
Spotlight
Mon Apr 25 06:30 PM (PDT)
Understanding the Role of Self Attention for Efficient Speech Recognition
Kyuhong Shim · Jungwook Choi · Wonyong Sung
Spotlight
Mon Apr 25 06:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin · Jeremy Wohlwend · Regina Barzilay · Tommi Jaakkola
Spotlight
Mon Apr 25 06:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Affinity Social
Mon Apr 25 08:00 PM -- 09:00 PM & Tue Apr 26 12:00 PM -- 01:00 PM (PDT) @ https://forms.gle/UdtmhoVCf8SB5sEVA
Queer in AI Social @ ICLR 2022
William Agnew · Claas Voelcker
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Steeven Janny · Fabien Baradel · Natalia Neverova · Madiha Nadri · Greg Mori · Christian Wolf
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts · Juan L. Reutter
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
X.Y. Han · Vardan Papyan · David Donoho
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu · Karan Goel · Christopher Re
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang · Shichao Xu · Ruiqi Xu · Xiao Wang · Qi Zhu
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo · Veronika Thost · Beichen Li · Payel Das · Jie Chen · Wojciech Matusik
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Neural Structured Prediction for Inductive Node Classification
Meng Qu · Huiyu Cai · Jian Tang
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Learning Strides in Convolutional Neural Networks
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe · Qing Wang
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Yifei Wang · Jonathan Lacotte · Mert Pilanci
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel · Ta-Chu Kao · Kristopher Jensen · Guillaume Hennequin
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen · Enze Xie · Chongjian GE · Runjian Chen · Ding Liang · Ping Luo
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun · Shashank Rajput · Suvrit Sra
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
Alex Rogozhnikov
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
Huiqi Deng · Qihan Ren · Hao Zhang · Quanshi Zhang
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
Kohei Miyaguchi · Takayuki Katsuki · Akira Koseki · Toshiya Iwamori
Oral
Tue Apr 26 02:30 AM -- 02:45 AM (PDT)
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan · Jaehong Yoon · Yuanchun Li · Yunxin Liu · Sung Ju Hwang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Jérémie DONA · Marie Déchelle · patrick gallinari · Marina Levy
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel · Ta-Chu Kao · Kristopher Jensen · Guillaume Hennequin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Generative Principal Component Analysis
Zhaoqiang Liu · Jiulong Liu · Subhroshekhar Ghosh · Jun Han · Jonathan Scarlett
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Hang Zhao · Yang Yu · Kai Xu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Strides in Convolutional Neural Networks
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott · Julius von Kuegelgen · Frederik Träuble · Peter Gehler · Chris Russell · Matthias Bethge · Bernhard Schoelkopf · Francesco Locatello · Wieland Brendel
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng · Jesse Han · Stanislas Polu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Qu Tang · Xiangyu Zhu · Zhen Lei · Zhaoxiang Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Self-Supervised Inference in State-Space Models
David Ruhe · Patrick Forré
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim · Seokin Seo · Jongmin Lee · Wonseok Jeon · HyeongJoo Hwang · Hongseok Yang · Kee-Eung Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning meta-features for AutoML
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
Alexander (Oleksandr) Shekhovtsov · Dmitrij Schlesinger · Boris Flach
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa · Leon Lang · Maurice Weiler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Zero Pixel Directional Boundary by Vector Transform
Edoardo Mello Rella · Ajad Chhatkuli · Yun Liu · Ender Konukoglu · Luc Van Gool
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Spyridon Mouselinos · Henryk Michalewski · Mateusz Malinowski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Do We Need Anisotropic Graph Neural Networks?
Shyam Tailor · Felix Opolka · Pietro Lio · Nicholas Lane
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
L0-Sparse Canonical Correlation Analysis
Ofir Lindenbaum · Moshe Salhov · Amir Averbuch · Yuval Kluger
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning over Latent Domains
Lucas Deecke · Timothy Hospedales · Hakan Bilen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Self-ensemble Adversarial Training for Improved Robustness
Hongjun Wang · Yisen Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
Yutong Wang · Ke Xue · Chao Qian
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel · Tatsunori Hashimoto · Graham Neubig
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Augmented Sliced Wasserstein Distances
Xiongjie Chen · Yongxin Yang · Yunpeng Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Chen Jin · Ryutaro Tanno · Thomy Mertzanidou · Eleftheria Panagiotaki · Daniel Alexander
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Minghao Han · Jacob Euler-Rolle · Robert Katzschmann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
NeuPL: Neural Population Learning
SIQI LIU · Luke Marris · Daniel Hennes · Josh Merel · Nicolas Heess · Thore Graepel
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Jakub Grudzien Kuba · Ruiqing Chen · Muning Wen · Ying Wen · Fanglei Sun · Jun Wang · Yaodong Yang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang · Jongmin Lee · Kee-Eung Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
Shuming Kong · Yanyan Shen · Linpeng Huang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu · Zhifeng Kong · Xudong XU · Liang Pan · Dahua Lin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel · Julien Mairal
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang · Luoqiu Li · Xiang Chen · Shumin Deng · Zhen Bi · Chuanqi Tan · Fei Huang · Huajun Chen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh · Mahito Sugiyama
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Wang Ling · Wojciech Stokowiec · Domenic Donato · Chris Dyer · Lei Yu · Laurent Sartran · Austin Matthews
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Sound Adversarial Audio-Visual Navigation
Yinfeng Yu · Wenbing Huang · Fuchun Sun · Changan Chen · Yikai Wang · Xiaohong Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim · Jung-Woo Ha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk · Andrey Voynov · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Rethinking Supervised Pre-Training for Better Downstream Transferring
Yutong Feng · Jianwen Jiang · Mingqian Tang · Rong Jin · Yue Gao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere · Jie Zhang · François Charton · Mark Harman · Gabriel Synnaeve · Guillaume Lample
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Explainable GNN-Based Models over Knowledge Graphs
David Jaime Tena Cucala · Bernardo Grau · Egor Kostylev · Boris Motik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam · Jun Wang · Dan Su · Dong Yu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Top-N: Equivariant Set and Graph Generation without Exchangeability
Clément Vignac · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unrolling PALM for Sparse Semi-Blind Source Separation
Mohammad Fahes · Christophe Kervazo · Jerome Bobin · Florence Tupin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li · Xiangfeng Wang · Bo Jin · Junjie Sheng · Hongyuan Zha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
Bo Wan · Wenjuan Han · Zilong Zheng · Tinne Tuytelaars
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor · Corentin Tallec · Mohammad Gheshlaghi Azar · Mehdi Azabou · Eva Dyer · Remi Munos · Petar Veličković · Michal Valko
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Optimal Conformal Classifiers
David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Transformers Can Do Bayesian Inference
Samuel Müller · Noah Hollmann · Sebastian Pineda Arango · Josif Grabocka · Frank Hutter
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu · Feng Li · Hao Zhang · Xiao Yang · Xianbiao Qi · Hang Su · Jun Zhu · Lei Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Steeven Janny · Fabien Baradel · Natalia Neverova · Madiha Nadri · Greg Mori · Christian Wolf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Steven James · Benjamin Rosman · George D Konidaris
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Fooling Explanations in Text Classifiers
Adam Ivankay · Ivan Girardi · Chiara Marchiori · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Stefanos Leonardos · Will Overman · Ioannis Panageas · Georgios Piliouras
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
MAML is a Noisy Contrastive Learner in Classification
Chia-Hsiang Kao · Wei-Chen Chiu · Pin-Yu Chen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang · Ruixuan Xiao · Yixuan Li · Lei Feng · Gang Niu · Gang Chen · Junbo Zhao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe · Qing Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Alex Chan · Alicia Curth · Mihaela van der Schaar
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason McEwen · Christopher Wallis · Augustine Mavor-Parker
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafał Szlendak · Alexander Tyurin · Peter Richtarik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Hanyu Peng · Mingming Sun · Ping Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Imitation Learning by Reinforcement Learning
Kamil Ciosek
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Delaunay Component Analysis for Evaluation of Data Representations
Petra Poklukar · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui · Heinz Koeppl
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon · Murray Shanahan · Francesco Belardinelli
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang · Yonggang Wen · Shuai Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Relational Learning with Variational Bayes
Kuang-Hung Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han · Zejia Fan · Qi Han · Lei Sun · Ming-Ming Cheng · Jiaying Liu · Jingdong Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Robert Lange · Henning Sprekeler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
A generalization of the randomized singular value decomposition
Nicolas Boulle · Alex Townsend
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
The Evolution of Uncertainty of Learning in Games
Yun Kuen Cheung · Georgios Piliouras · Yixin Tao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo · Chenghao Liu · Doyen Sahoo · Akshat Kumar · Steven Hoi
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
Zhong Li · Haotian Jiang · Qianxiao Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A First-Occupancy Representation for Reinforcement Learning
Ted Moskovitz · Spencer Wilson · Maneesh Sahani
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Neural Variational Dropout Processes
Insu Jeon · Youngjin Park · Gunhee Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi · JIAHUI GAO · Hang Xu · Xiaodan Liang · Zhenguo Li · Lingpeng Kong · Stephen Lee · James Kwok
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Jongmin Lee · Cosmin Paduraru · Daniel Mankowitz · Nicolas Heess · Doina Precup · Kee-Eung Kim · Arthur Guez
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Thanh Nguyen-Tang · Sunil Gupta · A. Tuan Nguyen · Svetha Venkatesh
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Phase Collapse in Neural Networks
Florentin Guth · John Zarka · Stéphane Mallat
Spotlight
Tue Apr 26 02:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim · Jung-Woo Ha
Spotlight
Tue Apr 26 02:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere · Jie Zhang · François Charton · Mark Harman · Gabriel Synnaeve · Guillaume Lample
Spotlight
Tue Apr 26 02:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
Alexander (Oleksandr) Shekhovtsov · Dmitrij Schlesinger · Boris Flach
Spotlight
Tue Apr 26 02:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann
Spotlight
Tue Apr 26 02:30 AM (PDT)
Learning Optimal Conformal Classifiers
David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet
Spotlight
Tue Apr 26 02:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
Zhong Li · Haotian Jiang · Qianxiao Li
Spotlight
Tue Apr 26 02:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Jongmin Lee · Cosmin Paduraru · Daniel Mankowitz · Nicolas Heess · Doina Precup · Kee-Eung Kim · Arthur Guez
Spotlight
Tue Apr 26 02:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi · JIAHUI GAO · Hang Xu · Xiaodan Liang · Zhenguo Li · Lingpeng Kong · Stephen Lee · James Kwok
Spotlight
Tue Apr 26 02:30 AM (PDT)
Learning meta-features for AutoML
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Spotlight
Tue Apr 26 02:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Robert Lange · Henning Sprekeler
Spotlight
Tue Apr 26 02:30 AM (PDT)
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han · Zejia Fan · Qi Han · Lei Sun · Ming-Ming Cheng · Jiaying Liu · Jingdong Wang
Invited Talk
Tue Apr 26 09:00 AM -- 10:15 AM (PDT)
Representation Learning in the Global South: Societal Considerations-Fairness, Safety and Privacy
John Amuasi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Predicting Physics in Mesh-reduced Space with Temporal Attention
XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Zhen Xiang · David Miller · George Kesidis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Efficient Active Search for Combinatorial Optimization Problems
André Hottung · Yeong Dae Kwon · Kevin Tierney
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Greg Yang · Michael Santacroce · Edward Hu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The Uncanny Similarity of Recurrence and Depth
Avi Schwarzschild · Arjun Gupta · Amin Ghiasi · Micah Goldblum · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Differentiable Scaffolding Tree for Molecule Optimization
Tianfan Fu · Wenhao Gao · Cao Xiao · Jacob Yasonik · Connor Coley · Jimeng Sun
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Chen Liang · Haoming Jiang · Simiao Zuo · Xz W · Xiaodong Liu · Jianfeng Gao · Weizhu Chen · Tuo Zhao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
BAM: Bayes with Adaptive Memory
Josue Nassar · Jennifer Brennan · Ben Evans · Kendall Lowrey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Ziwei Guan · Tengyu Xu · Yingbin Liang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Karimireddy · Lie He · Martin Jaggi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Neural Contextual Bandits through Perturbed Rewards
Yiling Jia · Weitong ZHANG · Dongruo Zhou · Quanquan Gu · Hongning Wang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans · Sicong(Sheldon) Huang · Marzyeh Ghassemi · Greg Ver Steeg · Roger Grosse · Alireza Makhzani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Sitan Chen · Jerry Li · Yuanzhi Li · Raghu Meka
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Huan He · Shifan Zhao · Yuanzhe Xi · Joyce Ho · Yousef Saad
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Sugandha Sharma · Aidan Curtis · Marta Kryven · Joshua B Tenenbaum · Ila Fiete
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar · Amir Yazdanbakhsh · Milad Hashemi · Kevin Swersky · Sergey Levine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Dhruvesh Patel · Pavitra Dangati · Jay-Yoon Lee · Michael Boratko · Andrew McCallum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani · Orhan Firat · Markus Freitag · Ankur Bapna · Maxim Krikun · Xavier Garcia · Ciprian Chelba · Colin Cherry
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
Huaxiu Yao · Linjun Zhang · Chelsea Finn
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
Kristof Meding · Luca Schulze Buschoff · Robert Geirhos · Felix Wichmann
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Dual Lottery Ticket Hypothesis
Yue Bai · Huan Wang · Zhiqiang Tao · Kunpeng Li · Yun Fu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul N Bennett · Jiawei Han · Xia Song
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Granger causal inference on DAGs identifies genomic loci regulating transcription
Alexander Wu · Rohit Singh · Bonnie Berger
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Feature Kernel Distillation
Bobby He · Mete Ozay
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun · Ruijie Zheng · Xiyao Wang · Andrew Cohen · Furong Huang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma · Can Qin · Haoxuan You · Haoxi Ran · Yun Fu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar · Alexander Levine · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek · Ekin Akyürek · Derry Wijaya · Jacob Andreas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradSign: Model Performance Inference with Theoretical Insights
Zhihao Zhang · Zhihao Jia
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta · Jim Fan · Surya Ganguli · Li Fei-Fei
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Value Functions from Undirected State-only Experience
Matthew Chang · Arjun Gupta · Saurabh Gupta
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Wang · Niladri Chatterji · Saminul Haque · Tatsunori Hashimoto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Jingchao Ni · Wei Cheng · Zhengzhang Chen · Takayoshi Asakura · Tomoya Soma · Sho Kato · Haifeng Chen
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Maximilian Seitzer · Arash Tavakoli · Dimitrije Antic · Georg Martius
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams · Lagnajit Pattanaik · Connor Coley
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Selective Ensembles for Consistent Predictions
Emily Black · Klas Leino · Matt Fredrikson
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
FNU Hairi · Jia Liu · Songtao Lu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
Huan Liu · George Zhang · Jun Chen · Ashish Khisti
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Optimizing Neural Networks with Gradient Lexicase Selection
Li Ding · Lee Spector
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press · Noah Smith · Mike Lewis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji · Jingjing Li · Qi Bi · chuan guo · Jie Liu · Li Cheng
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Mangal Prakash · Mauricio Delbracio · Peyman Milanfar · Florian Jug
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Ruicheng Xian · Heng Ji · Han Zhao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Know Your Action Set: Learning Action Relations for Reinforcement Learning
Ayush Jain · Norio Kosaka · Kyung-Min Kim · Joseph Lim
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Xiaofang Wang · Dan Kondratyuk · Eric Christiansen · Kris Kitani · Yair Movshovitz-Attias · Elad Eban
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace · Alex Chan · Mihaela van der Schaar
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Juncheng Dong · Simiao Ren · Yang Deng · Omar Khatib · Jordan Malof · Mohammadreza Soltani · Willie Padilla · VAHID TAROKH
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti · Andras Gyorgy · Marcus Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie · Aditi Raghunathan · Percy Liang · Tengyu Ma
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang · Clayton Scott
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Bichen Wu · Ruizhe Cheng · Peizhao Zhang · Tianren Gao · Joseph E Gonzalez · Peter Vajda
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng · Shaobo Han · Simon Du
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finetuned Language Models are Zero-Shot Learners
Jason Wei · Maarten Bosma · Vincent Zhao · Kelvin Guu · Wei Yu · Brian Lester · Nan Du · Andrew Dai · Quoc V Le
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou · Wei Fu · Bingliang Zhang · Yi Wu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen · Kexin Yi · Yunzhu Li · Mingyu Ding · Antonio Torralba · Joshua B Tenenbaum · Chuang Gan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu · Zheng Xu · Mingqing Chen · Jakub Konečný · Andrew Hard · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma · Lexing Ying
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Boris Oreshkin · Florent Bocquelet · Felix G. Harvey · Bay Raitt · Dominic Laflamme
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Yunchang Yang · Tianhao Wu · Han Zhong · Evrard Garcelon · Matteo Pirotta · Alessandro Lazaric · Liwei Wang · Simon Du
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
Siyan Liu · Pei Zhang · Dan Lu · Guannan Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh · Albert Webson · Colin Raffel · Stephen Bach · Lintang Sutawika · Zaid Alyafeai · Antoine Chaffin · Arnaud Stiegler · Arun Raja · Manan Dey · M Saiful Bari · Canwen Xu · Urmish Thakker · Shanya Sharma · Eliza Szczechla · Taewoon Kim · Gunjan Chhablani · Nihal Nayak · Debajyoti Datta · Jonathan Chang · Mike Tian-Jian Jiang · Han Wang · Matteo Manica · Sheng Shen · Zheng Xin Yong · Harshit Pandey · Rachel Bawden · Thomas Wang · Trishala Neeraj · Jos Rozen · Abheesht Sharma · Andrea Santilli · Thibault Fevry · Jason Fries · Ryan Teehan · Teven Le Scao · Stella R Biderman · Leo Gao · Thomas Wolf · Alexander M Rush
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Chu-Cheng Lin · Arya McCarthy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan · Yanchao Yang · Kaichun Mo · Yueqi Duan · Leonidas Guibas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Andrei Afonin · Sai Karimireddy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bootstrapped Meta-Learning
Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Nico Courts · Henry Kvinge
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Prototype memory and attention mechanisms for few shot image generation
Tianqin Li · Zijie Li · Andrew Luo · Harold Rockwell · Amir Barati Farimani · Tai Lee
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien · Chao Pan · Jianhao Peng · Olgica Milenkovic
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Moise Blanchard · Mohammed Amine Bennouna
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Label Encoding for Regression Networks
Deval Shah · Zi Yu Xue · Tor Aamodt
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao · Lu Jiang · Mostafa Dehghani · Carl Vondrick · Rahul Sukthankar · Irfan Essa
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
Samet Cetin · Orhun Baran · Ramazan Gokberk Cinbis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Leveraging unlabeled data to predict out-of-distribution performance
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Gradients Incorporating the Future
David Venuto · Elaine Lau · Doina Precup · Ofir Nachum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang · Sun Sun · Yaoliang Yu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradMax: Growing Neural Networks using Gradient Information
Utku Evci · Bart van Merrienboer · Thomas Unterthiner · Fabian Pedregosa · Max Vladymyrov
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao · Hailiang Liu · Jia Liu · Hridesh Rajan · Hongyang Gao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh · Hyunouk Ko · Xiaoming Huo
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Majid Jahani · Sergey Rusakov · Zheng Shi · Peter Richtarik · Michael W Mahoney · Martin Takac
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela · Julien Niklas Siems · Lucas Zimmer · Jovita Lukasik · Margret Keuper · Frank Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Stiffness-aware neural network for learning Hamiltonian systems
SENWEI Liang · Zhongzhan Huang · Hong Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla · Surbhi Singla · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt · Martin Schuessler · Oana-Iuliana Popescu · Philipp Weiß · Tim Landgraf
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Fine-Tuning Approach to Belief State Modeling
Samuel Sokota · Hengyuan Hu · David Wu · Zico Kolter · Jakob Foerster · Noam Brown
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li · Tianhao Wang · Sanjeev Arora
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shikuang Deng · Yuhang Li · Shanghang Zhang · Shi Gu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Bogdan Mazoure · Ahmed Ahmed · R Devon Hjelm · Andrey Kolobov · Patrick MacAlpine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Variational methods for simulation-based inference
Manuel Glöckler · Michael Deistler · Jakob Macke
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Permutation-Based SGD: Is Random Optimal?
Shashank Rajput · Kangwook Lee · Dimitris Papailiopoulos
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Xinchi Qiu · Javier Fernandez-Marques · Pedro Porto Buarque de Gusmao · Yan Gao · Titouan Parcollet · Nicholas Lane
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Maximizing Ensemble Diversity in Deep Reinforcement Learning
Hassam Sheikh · mariano Phielipp · Ladislau Boloni
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Curriculum learning as a tool to uncover learning principles in the brain
Daniel R Kepple · Rainer Engelken · Kanaka Rajan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing · Pascal Vincent · Yann LeCun · Yuandong Tian
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improving Non-Autoregressive Translation Models Without Distillation
Xiao Shi (Gary) Huang · Felipe Perez · Maksims Volkovs
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Sayan Ghosal · Qiang Chen · Giulio Pergola · Aaron Goldman · William Ulrich · Daniel Weinberger · Archana Venkataraman
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Benjamin Newman · Prafulla Kumar Choubey · Nazneen Rajani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Synchromesh: Reliable Code Generation from Pre-trained Language Models
Gabriel Poesia · Alex Polozov · Vu Le · Ashish Tiwari · Gustavo Soares · Christopher Meek · Sumit Gulwani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Online Adversarial Attacks
Andjela Mladenovic · Joey Bose · Hugo Berard · William Hamilton · Simon Lacoste-Julien · Pascal Vincent · Gauthier Gidel
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Triangle and Four Cycle Counting with Predictions in Graph Streams
Justin Chen · Talya Eden · Piotr Indyk · Honghao Lin · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner · David Woodruff · Michael Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze · Kai Han · Andrea Vedaldi · Andrew Zisserman
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen · Guan-Horng Liu · Evangelos Theodorou
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Dennis Wu · Di-Nan Lin · Vincent Chen · Hung-Hsuan Chen
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
One After Another: Learning Incremental Skills for a Changing World
Nur Muhammad Shafiullah · Lerrel Pinto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts · Juan L. Reutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Roger Girgis · Florian Golemo · Felipe Codevilla · Martin Weiss · Jim D'Souza · Samira Ebrahimi Kahou · Felix Heide · Chris J Pal
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian Ganea · xinyuan huang · Charlotte Bunne · Yatao Bian · Regina Barzilay · Tommi Jaakkola · Andreas Krause
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Jinyuan Jia · Binghui Wang · Xiaoyu Cao · Hongbin Liu · Neil Gong
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably Robust Adversarial Examples
Dimitar I. Dimitrov · Gagandeep Singh · Timon Gehr · Martin Vechev
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson · Qingbiao Li · Matthew Malencia · Amanda Prorok
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Generalized Kernel Thinning
Raaz Dwivedi · Lester Mackey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Thibault Sellam · Steve Yadlowsky · Ian Tenney · Jason Wei · Naomi Saphra · Alexander D'Amour · Tal Linzen · Jasmijn Bastings · Iulia Turc · Jacob Eisenstein · Dipanjan Das · Ellie Pavlick
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Evaluating Distributional Distortion in Neural Language Modeling
Benjamin LeBrun · Alessandro Sordoni · Timothy O'Donnell
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Planning in Stochastic Environments with a Learned Model
Ioannis Antonoglou · Julian Schrittwieser · Sherjil Ozair · Thomas Hubert · David Silver
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Yan Li · Dhruv Choudhary · Xiaohan Wei · Baichuan Yuan · Bhargav Bhushanam · Tuo Zhao · Guanghui Lan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song · Liyue Shen · Lei Xing · Stefano Ermon
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Fairness Guarantees under Demographic Shift
Stephen Giguere · Blossom Metevier · Bruno Silva · Yuriy Brun · Philip Thomas · Scott Niekum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang · Marko Zeman · Theodoros Tsiligkaridis · Marinka Zitnik
Spotlight
Tue Apr 26 10:30 AM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian Ganea · xinyuan huang · Charlotte Bunne · Yatao Bian · Regina Barzilay · Tommi Jaakkola · Andreas Krause
Spotlight
Tue Apr 26 10:30 AM (PDT)
Label Encoding for Regression Networks
Deval Shah · Zi Yu Xue · Tor Aamodt
Spotlight
Tue Apr 26 10:30 AM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo i Enrich · Youssef Mroueh
Spotlight
Tue Apr 26 10:30 AM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li · Tianhao Wang · Sanjeev Arora
Spotlight
Tue Apr 26 10:30 AM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh · Albert Webson · Colin Raffel · Stephen Bach · Lintang Sutawika · Zaid Alyafeai · Antoine Chaffin · Arnaud Stiegler · Arun Raja · Manan Dey · M Saiful Bari · Canwen Xu · Urmish Thakker · Shanya Sharma · Eliza Szczechla · Taewoon Kim · Gunjan Chhablani · Nihal Nayak · Debajyoti Datta · Jonathan Chang · Mike Tian-Jian Jiang · Han Wang · Matteo Manica · Sheng Shen · Zheng Xin Yong · Harshit Pandey · Rachel Bawden · Thomas Wang · Trishala Neeraj · Jos Rozen · Abheesht Sharma · Andrea Santilli · Thibault Fevry · Jason Fries · Ryan Teehan · Teven Le Scao · Stella R Biderman · Leo Gao · Thomas Wolf · Alexander M Rush
Spotlight
Tue Apr 26 10:30 AM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Jingchao Ni · Wei Cheng · Zhengzhang Chen · Takayoshi Asakura · Tomoya Soma · Sho Kato · Haifeng Chen
Spotlight
Tue Apr 26 10:30 AM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
FNU Hairi · Jia Liu · Songtao Lu
Spotlight
Tue Apr 26 10:30 AM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Chu-Cheng Lin · Arya McCarthy
Spotlight
Tue Apr 26 10:30 AM (PDT)
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Mangal Prakash · Mauricio Delbracio · Peyman Milanfar · Florian Jug
Spotlight
Tue Apr 26 10:30 AM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Roger Girgis · Florian Golemo · Felipe Codevilla · Martin Weiss · Jim D'Souza · Samira Ebrahimi Kahou · Felix Heide · Chris J Pal
Spotlight
Tue Apr 26 10:30 AM (PDT)
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani · Orhan Firat · Markus Freitag · Ankur Bapna · Maxim Krikun · Xavier Garcia · Ciprian Chelba · Colin Cherry
Spotlight
Tue Apr 26 10:30 AM (PDT)
Variational methods for simulation-based inference
Manuel Glöckler · Michael Deistler · Jakob Macke
Spotlight
Tue Apr 26 10:30 AM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla · Surbhi Singla · Soheil Feizi
Spotlight
Tue Apr 26 10:30 AM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Karimireddy · Lie He · Martin Jaggi
Spotlight
Tue Apr 26 10:30 AM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Thibault Sellam · Steve Yadlowsky · Ian Tenney · Jason Wei · Naomi Saphra · Alexander D'Amour · Tal Linzen · Jasmijn Bastings · Iulia Turc · Jacob Eisenstein · Dipanjan Das · Ellie Pavlick
Spotlight
Tue Apr 26 10:30 AM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace · Alex Chan · Mihaela van der Schaar
Spotlight
Tue Apr 26 10:30 AM (PDT)
Planning in Stochastic Environments with a Learned Model
Ioannis Antonoglou · Julian Schrittwieser · Sherjil Ozair · Thomas Hubert · David Silver
Invited Talk
Tue Apr 26 05:00 PM -- 06:15 PM (PDT)
‘Affordances’ for Machine Learning
Jenny Davis
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Lucio Dery · Paul Michel · Ameet Talwalkar · Graham Neubig
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Jiawei Huang · Jinglin Chen · Li Zhao · Tao Qin · Nan Jiang · Tie-Yan Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
Ruofan Liang · Hongyi Sun · Nandita Vijaykumar
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Differentially Private Fine-tuning of Language Models
Da Yu · Saurabh Naik · Arturs Backurs · Sivakanth Gopi · Huseyin Inan · Gautam Kamath · Janardhan Kulkarni · Yin Tat Lee · Andre Manoel · Lukas Wutschitz · Sergey Yekhanin · Huishuai Zhang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards General Function Approximation in Zero-Sum Markov Games
Baihe Huang · Jason Lee · Zhaoran Wang · Zhuoran Yang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Qi Lyu · Xiao Fu · Weiran Wang · Songtao Lu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Strength of Minibatch Noise in SGD
Liu Ziyin · Kangqiao Liu · Takashi Mori · Masahito Ueda
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Maximum n-times Coverage for Vaccine Design
Ge Liu · Alexander Dimitrakakis · Brandon Carter · David Gifford
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen · Jonas Mueller · Vassilis N. Ioannidis · Soji Adeshina · Yangkun Wang · Tom Goldstein · David Wipf
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features
Zhenmei Shi · Junyi Wei · Yingyu Liang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Recursive Disentanglement Network
Yixuan Chen · Yubin Shi · Dongsheng Li · Yujiang Wang · Mingzhi Dong · Yingying Zhao · Robert Dick · Qin Lv · Fan Yang · Li Shang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch
Youzhi Luo · Shuiwang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Multi-objective Optimization by Learning Space Partition
Yiyang Zhao · Linnan Wang · Kevin Yang · Tianjun Zhang · Tian Guo · Yuandong Tian
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Structured Prediction for Inductive Node Classification
Meng Qu · Huiyu Cai · Jian Tang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Knowledge Removal in Sampling-based Bayesian Inference
Shaopeng Fu · Fengxiang He · Dacheng Tao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Deep Equilibrium Solvers
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du · Zhaoning Wang · Mu Cai · Yixuan Li
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang · Jiahui Yu · Wei Yu · Zihang Dai · Yulia Tsvetkov · Yuan Cao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Accelerated Policy Learning with Parallel Differentiable Simulation
Jie Xu · Viktor Makoviychuk · Yashraj Narang · Fabio Ramos · Wojciech Matusik · Animesh Garg · Miles Macklin
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Learning Towards The Largest Margins
Xiong Zhou · Xianming Liu · Deming Zhai · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Anne Harrington · Arturo Deza
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Open-World Semi-Supervised Learning
Kaidi Cao · Maria Brbic · Jure Leskovec
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning
Hao Huang · Yi Fang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang · Xiaotian Cheng · Hakan Bilen · Xiangyang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Invariant Causal Representation Learning for Out-of-Distribution Generalization
Chaochao Lu · Yuhuai Wu · José Miguel Hernández Lobato · Bernhard Schoelkopf
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang · Jiarui Jin · Weinan Zhang · Yang Yongyi · Jiuhai Chen · Quan Gan · Yong Yu · Zheng Zhang · Zengfeng Huang · David Wipf
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Complete Code with Sketches
Daya Guo · Alexey Svyatkovskiy · Jian Yin · Nan Duan · Marc Brockschmidt · Miltiadis Allamanis
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Bi-linear Value Networks for Multi-goal Reinforcement Learning
Ge Yang · Zhang-Wei Hong · Pulkit Agrawal
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
On feature learning in neural networks with global convergence guarantees
Zhengdao Chen · Eric Vanden-Eijnden · Joan Bruna
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Ziang Song · Song Mei · Yu Bai
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Sparse Attention with Learning to Hash
Zhiqing Sun · Yiming Yang · Shinjae Yoo
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
Chao-Hong Tan · Qian Chen · Wen Wang · Qinglin Zhang · Siqi Zheng · Zhen-Hua Ling
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
Tianchen Zhou · Jia Liu · Chaosheng Dong · Yi Sun
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Stochastic Dual Dynamic Programming
Hanjun Dai · Yuan Xue · Zia Syed · Dale Schuurmans · Bo Dai
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Sampling with Mirrored Stein Operators
Jiaxin Shi · Chang Liu · Lester Mackey
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Jongjin Park · Younggyo Seo · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
Fuchao Wei · Chenglong Bao · Yang Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang · Kang Zhang · Chenshuang Zhang · Trung X. Pham · Chang Yoo · In Kweon
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Procedural generalization by planning with self-supervised world models
Ankesh Anand · Jacob C Walker · Yazhe Li · Eszter Vertes · Julian Schrittwieser · Sherjil Ozair · Theophane Weber · Jessica Hamrick
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Fixed Neural Network Steganography: Train the images, not the network
Varsha Kishore · Xiangyu Chen · Yan Wang · Boyi Li · Kilian Weinberger
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Equivariant Graph Mechanics Networks with Constraints
Wenbing Huang · Jiaqi Han · Yu Rong · Tingyang Xu · Fuchun Sun · Junzhou Huang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang · Xinyang Chen · Jianmin Wang · Mingsheng Long
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu · Tianyi Luo · Yang Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Yao Shu · shaofeng cai · Zhongxiang Dai · Beng Chin Ooi · Bryan Kian Hsiang Low
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu · Bei Chen · Jiaqi Guo · Morteza Ziyadi · Zeqi Lin · Weizhu Chen · Jian-Guang Lou
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Discovering Invariant Rationales for Graph Neural Networks
Ying-Xin Wu · Xiang Wang · An Zhang · Xiangnan He · Tat-Seng Chua
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Training Transition Policies via Distribution Matching for Complex Tasks
Ju-Seung Byun · Andrew Perrault
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression
Minsik Cho · Keivan Alizadeh-Vahid · Saurabh Adya · Mohammad Rastegari
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Understanding the Data Dependency of Mixup-style Training
Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai · Tianqin Li · Martin Ma · Han Zhao · Kun Zhang · Louis-Philippe Morency · Ruslan Salakhutdinov
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
Jiaye Teng · Jianhao Ma · Yang Yuan
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma · Xiaorui Liu · Neil Shah · Jiliang Tang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang · Shiwei Zhang · Liang Pan · Zhiwu Qing · Mingqian Tang · Ziwei Liu · Marcelo Ang Jr
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Dynamics-Aware Comparison of Learned Reward Functions
Blake W Wulfe · Logan Ellis · Jean Mercat · Rowan T McAllister · Adrien Gaidon
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
Harshavardhan Kamarthi · Alexander Rodríguez · B. Aditya Prakash
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Optimal Representations for Covariate Shift
Yangjun Ruan · Yann Dubois · Chris Maddison
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Backdoor Defense via Decoupling the Training Process
Kunzhe Huang · Yiming Li · Baoyuan Wu · Zhan Qin · Kui Ren
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
Haobo Fu · Weiming Liu · Shuang Wu · Yijia Wang · Tao Yang · Kai Li · Junliang Xing · Bin Li · Bo Ma · QIANG FU · Yang Wei
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Disentanglement Analysis with Partial Information Decomposition
Seiya Tokui · Issei Sato
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Hyunwook Lee · Seungmin Jin · Hyeshin Chu · Hongkyu Lim · Sungahn Ko
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Causal Contextual Bandits with Targeted Interventions
Chandrasekar Subramanian · Balaraman Ravindran
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
Shaopeng Fu · Fengxiang He · Yang Liu · Li Shen · Dacheng Tao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam · Seyyedali Hosseinalipour · Qiang Qiu · Christopher Brinton
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu · Shipeng Yan · Qizhengqiu Lu · Lanqing HONG · Hailin Hu · Yifan Zhang · Zhenguo Li · Xinchao Wang · Jiashi Feng
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang · Bohan Wang · Xiangchen Song · Yujing Wang · Yaming Yang · Jing Bai · Alex Ratner
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Yaohui Wang · Di Yang · Francois Bremond · Antitza Dantcheva
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Anh Bui · Trung Le · Quan Tran · He Zhao · Dinh Phung
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
dongsheng wang · Dandan Guo · He Zhao · Huangjie Zheng · Korawat Tanwisuth · Bo Chen · Mingyuan Zhou
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
Jiarui Jin · Sijin Zhou · Weinan Zhang · Tong He · Yong Yu · Rasool Fakoor
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng · Yutong He · Yang Song · Jiaming Song · Jiajun Wu · Junyan Zhu · Stefano Ermon
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Skill-based Meta-Reinforcement Learning
Taewook Nam · Shao-Hua Sun · Karl Pertsch · Sung Ju Hwang · Joseph Lim
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Pareto Policy Pool for Model-based Offline Reinforcement Learning
Yijun Yang · Jing Jiang · Tianyi Zhou · Jie Ma · Yuhui Shi
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Hongyuan Mei · Chenghao Yang · Jason Eisner
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
Miao Lu · Xiaolong Luo · Tianlong Chen · Wuyang Chen · Dong Liu · Zhangyang Wang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
Xiyuan Wang · Muhan Zhang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning Features with Parameter-Free Layers
Dongyoon Han · YoungJoon Yoo · Beomyoung Kim · Byeongho Heo
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Multi-Mode Deep Matrix and Tensor Factorization
Jicong Fan
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Inductive Relation Prediction Using Analogy Subgraph Embeddings
Jiarui Jin · Yangkun Wang · Kounianhua Du · Weinan Zhang · Zheng Zhang · David Wipf · Yong Yu · Quan Gan
Spotlight
Tue Apr 26 06:30 PM (PDT)
Sampling with Mirrored Stein Operators
Jiaxin Shi · Chang Liu · Lester Mackey
Spotlight
Tue Apr 26 06:30 PM (PDT)
Dynamics-Aware Comparison of Learned Reward Functions
Blake W Wulfe · Logan Ellis · Jean Mercat · Rowan T McAllister · Adrien Gaidon
Spotlight
Tue Apr 26 06:30 PM (PDT)
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen · Jonas Mueller · Vassilis N. Ioannidis · Soji Adeshina · Yangkun Wang · Tom Goldstein · David Wipf
Spotlight
Tue Apr 26 06:30 PM (PDT)
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin
Spotlight
Tue Apr 26 06:30 PM (PDT)
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Anne Harrington · Arturo Deza
Spotlight
Tue Apr 26 06:30 PM (PDT)
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Jiawei Huang · Jinglin Chen · Li Zhao · Tao Qin · Nan Jiang · Tie-Yan Liu
Spotlight
Tue Apr 26 06:30 PM (PDT)
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
Miao Lu · Xiaolong Luo · Tianlong Chen · Wuyang Chen · Dong Liu · Zhangyang Wang
Spotlight
Tue Apr 26 06:30 PM (PDT)
Strength of Minibatch Noise in SGD
Liu Ziyin · Kangqiao Liu · Takashi Mori · Masahito Ueda
Spotlight
Tue Apr 26 06:30 PM (PDT)
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Qi Lyu · Xiao Fu · Weiran Wang · Songtao Lu
Spotlight
Tue Apr 26 06:30 PM (PDT)
Towards Understanding the Data Dependency of Mixup-style Training
Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge
Invited Talk
Wed Apr 27 01:00 AM -- 02:15 AM (PDT)
Do you see what I see? Large-scale learning from multimodal videos
Cordelia Schmid
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When, Why, and Which Pretrained GANs Are Useful?
Timofey Grigoryev · Andrey Voynov · Artem Babenko
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
iFlood: A Stable and Effective Regularizer
Yuexiang Xie · Zhen WANG · Yaliang Li · Ce Zhang · Jingren Zhou · Bolin Ding
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan · Binxin Ru · Pedro Esperança · Zhenguo Li
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang · Zhenhe Zhang · Yu Ting Yeung · Xin Jiang · Qun Liu
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Model Agnostic Interpretability for Multiple Instance Learning
Joseph Early · Christine Evers · Sarvapali Ramchurn
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Böther · Otto Kißig · Martin Taraz · Sarel Cohen · Karen Seidel · Tobias Friedrich
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Boyan Li · Hongyao Tang · YAN ZHENG · Jianye HAO · Pengyi Li · Zhen Wang · Zhaopeng Meng · LI Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Multimodal VAEs through Mutual Supervision
Tom W Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On-Policy Model Errors in Reinforcement Learning
Lukas Fröhlich · Maksym Lefarov · Melanie Zeilinger · Felix Berkenkamp
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
NASPY: Automated Extraction of Automated Machine Learning Models
Xiaoxuan Lou · Shangwei Guo · Jiwei Li · Yaoxin Wu · Tianwei Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When should agents explore?
Miruna Pîslar · David Szepesvari · Georg Ostrovski · Diana Borsa · Tom Schaul
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Optimal Memorization Power of ReLU Neural Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh · Jan-Matthis Lueckmann · Jan Boelts · Álvaro Tejero-Cantero · David Greenberg · Pedro Goncalves · Jakob Macke
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
Claudio Ferrari · Mark N Müller · Nikola Jovanović · Martin Vechev
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Super-Features for Image Retrieval
Philippe Weinzaepfel · Thomas Lucas · Diane Larlus · Yannis Kalantidis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun · Shashank Rajput · Suvrit Sra
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Robert Csordas · Kazuki Irie · Jürgen Schmidhuber
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Causal Discovery
Ruibo Tu · Kun Zhang · Hedvig Kjellström · Cheng Zhang
Po