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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)
Topological Graph Neural Networks
In Poster Session 1
Max Horn · Edward De Brouwer · Michael Moor · Yves Moreau · Bastian Rieck · Karsten Borgwardt
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Adversarial Retriever-Ranker for Dense Text Retrieval
In Poster Session 1
Hang Zhang · Yeyun Gong · Yelong Shen · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Imbedding Deep Neural Networks
In Poster Session 1
Andrew Corbett · Dmitry Kangin
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
In Poster Session 1
Hyeonmin Ha · Ji Hoon Kim · Semin Park · Byung-Gon Chun
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
In Poster Session 1
Victor Weixin Liang · James Y Zou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Scale Mixtures of Neural Network Gaussian Processes
In Poster Session 1
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
In Poster Session 1
Zehao Xiao · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Role of Pretrained Representations for the OOD Generalization of RL Agents
In Poster Session 1
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)
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
In Poster Session 1
Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty
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
In Poster Session 1
Shiwei Liu · Tianlong Chen · Zahra Atashgahi · Xiaohan Chen · Ghada Sokar · Elena Mocanu · Mykola Pechenizkiy · Zhangyang Wang · Decebal Mocanu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
8-bit Optimizers via Block-wise Quantization
In Poster Session 1
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
In Poster Session 1
Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
In Poster Session 1
baeseong park · Se Jung Kwon · Daehwan Oh · Byeonguk Kim · Dongsoo Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Efficient Neural Causal Discovery without Acyclicity Constraints
In Poster Session 1
Phillip Lippe · Taco Cohen · Efstratios Gavves
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Non-Parallel Text Style Transfer with Self-Parallel Supervision
In Poster Session 1
Ruibo Liu · CHONGYANG GAO · Chenyan Jia · Guangxuan Xu · Soroush Vosoughi
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
In Poster Session 1
Elahe Arani · Fahad Sarfraz · Bahram Zonooz
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosted Curriculum Reinforcement Learning
In Poster Session 1
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
High Probability Generalization Bounds with Fast Rates for Minimax Problems
In Poster Session 1
Shaojie Li · Yong Liu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Signing the Supermask: Keep, Hide, Invert
In Poster Session 1
Nils Koster · Oliver Grothe · Achim Rettinger
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Constrained Policy Optimization via Bayesian World Models
In Poster Session 1
Yarden As · Ilnura Usmanova · Sebastian Curi · Andreas Krause
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
In Poster Session 1
Yatao Bian · Yu Rong · Tingyang Xu · Jiaxiang Wu · Andreas Krause · Junzhou Huang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Steerable Partial Differential Operators for Equivariant Neural Networks
In Poster Session 1
Erik Jenner · Maurice Weiler
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
In Poster Session 1
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) @ Virtual
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
In Poster Session 1
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)
End-to-End Learning of Probabilistic Hierarchies on Graphs
In Poster Session 1
Daniel Zügner · Bertrand Charpentier · Morgane Ayle · Sascha Geringer · Stephan Günnemann
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
In Poster Session 1
Tim Salimans · Jonathan Ho
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Bootstrapping Semantic Segmentation with Regional Contrast
In Poster Session 1
Shikun Liu · Shuaifeng Zhi · Edward Johns · Andrew Davison
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
In Poster Session 1
Takuya Hiraoka · Takahisa Imagawa · Taisei Hashimoto · Takashi Onishi · Yoshimasa Tsuruoka
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
In Poster Session 1
Simin Hong · Anthony Cohn · David Hogg
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Top-label calibration and multiclass-to-binary reductions
In Poster Session 1
Chirag Gupta · Aaditya Ramdas
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
In Poster Session 1
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
In Poster Session 1
Mohamad Shahbazi · Martin Danelljan · Danda Paudel · Luc Van Gool
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
In Poster Session 1
Zhenyu Zhu · Fabian Latorre · Grigorios Chrysos · Volkan Cevher
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
In Poster Session 1
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)
Sample and Computation Redistribution for Efficient Face Detection
In Poster Session 1
Jia Guo · Jiankang Deng · Alexandros Lattas · Stefanos Zafeiriou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On Incorporating Inductive Biases into VAEs
In Poster Session 1
Ning Miao · Emile Mathieu · Siddharth N · Yee Whye Teh · Tom Rainforth
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
In Poster Session 1
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)
Goal-Directed Planning via Hindsight Experience Replay
In Poster Session 1
Lorenzo Moro · Amarildo Likmeta · Enrico Prati · Marcello Restelli
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Generative Modeling with Optimal Transport Maps
In Poster Session 1
Litu Rout · Alexander Korotin · Evgeny Burnaev
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
In Poster Session 1
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
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
In Poster Session 1
Changchun Li · Ximing Li · Lei Feng · Jihong Ouyang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
In Poster Session 1
Mohammed Haroon Dupty · Yanfei Dong · Wee Sun Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Memory Replay with Data Compression for Continual Learning
In Poster Session 1
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)
Bayesian Neural Network Priors Revisited
In Poster Session 1
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)
On the Existence of Universal Lottery Tickets
In Poster Session 1
Rebekka Burkholz · Nilanjana Laha · Rajarshi Mukherjee · Alkis Gotovos
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
In Poster Session 1
Fabio Ferreira · Thomas Nierhoff · Andreas Sälinger · Frank Hutter
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Unsupervised Disentanglement with Tensor Product Representations on the Torus
In Poster Session 1
Michael Rotman · Amit Dekel · shir gur · Yaron Oz · Lior Wolf
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
In Poster Session 1
Fan Bao · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
In Poster Session 1
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Generalisation in Lifelong Reinforcement Learning through Logical Composition
In Poster Session 1
Geraud Nangue Tasse · Steven James · Benjamin Rosman
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Stability Regularization for Discrete Representation Learning
In Poster Session 1
Adeel Pervez · Efstratios Gavves
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
In Poster Session 1
Hafiz Tiomoko Ali · Zhenyu Liao · Romain Couillet
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
In Poster Session 1
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
In Poster Session 1
Chris Harris · Richard Pymar · Colin Rowat
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Autoregressive Diffusion Models
In Poster Session 1
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)
Variational Neural Cellular Automata
In Poster Session 1
Rasmus Berg Palm · Miguel Gonzalez-Duque · Shyam Sudhakaran · Sebastian Risi
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
In Poster Session 1
Shangmin Guo · YI REN · Kory Mathewson · Simon Kirby · Stefano Albrecht · Kenny Smith
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
In Poster Session 1
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)
Spanning Tree-based Graph Generation for Molecules
In Poster Session 1
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosting the Certified Robustness of L-infinity Distance Nets
In Poster Session 1
Bohang Zhang · Du Jiang · Di He · Liwei Wang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hierarchical Variational Memory for Few-shot Learning Across Domains
In Poster Session 1
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
In Poster Session 1
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)
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
In Poster Session 1
Iro Laina · Yuki Asano · Andrea Vedaldi
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
In Poster Session 1
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Li Shen · Decebal Mocanu · Zhangyang Wang · Mykola Pechenizkiy
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
In Poster Session 1
Fangyu Liu · Yunlong Jiao · Jordan Massiah · Emine Yilmaz · Serhii Havrylov
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Temporally Causal Latent Processes from General Temporal Data
In Poster Session 1
Weiran Yao · Yuewen Sun · Alex Ho · Changyin Sun · Kun Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
In Poster Session 1
Yuanxiong Guo · Ying Sun · Rui Hu · Yanmin Gong
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
In Poster Session 1
Zhizhou Ren · Ruihan Guo · Yuan Zhou · Jian Peng
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Anytime Dense Prediction with Confidence Adaptivity
In Poster Session 1
Zhuang Liu · Zhiqiu Xu · Hung-Ju Wang · trevor darrell · Evan Shelhamer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
In Poster Session 1
Nikhil Ghosh · Song Mei · Bin Yu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
In Poster Session 1
Zih-Syuan Huang · Ching-pei Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Evidential Turing Processes
In Poster Session 1
Melih Kandemir · Abdullah Akgül · Manuel Haussmann · Gozde Unal
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
In Poster Session 1
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur
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)
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)
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)
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)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
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)
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)
Imbedding Deep Neural Networks
Andrew Corbett · Dmitry Kangin
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
Spotlight
Mon Apr 25 02:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
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)
Incremental False Negative Detection for Contrastive Learning
In Poster Session 2
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)
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
In Poster Session 2
Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
In Poster Session 2
Cat Le · Juncheng Dong · Mohammadreza Soltani · VAHID TAROKH
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EigenGame Unloaded: When playing games is better than optimizing
In Poster Session 2
Ian Gemp · Brian McWilliams · Claire Vernade · Thore Graepel
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Illiterate DALL-E Learns to Compose
In Poster Session 2
Gautam Singh · Fei Deng · Sungjin Ahn
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable
In Poster Session 2
Shaojin Ding · Tianlong Chen · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
In Poster Session 2
Sachin Mehta · Mohammad Rastegari
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Gradient Importance Learning for Incomplete Observations
In Poster Session 2
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)
Spherical Message Passing for 3D Molecular Graphs
In Poster Session 2
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) @ Virtual
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
In Poster Session 2
Xingyu Wang · Sewoong Oh · Chang-Han Rhee
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
In Poster Session 2
Aviral Kumar · Joey Hong · Anikait Singh · Sergey Levine
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Critical Points in Quantum Generative Models
In Poster Session 2
Eric Anschuetz
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
In Poster Session 2
Xiangning Chen · Cho-Jui Hsieh · Boqing Gong
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
In Poster Session 2
Xiuye Gu · Tsung-Yi Lin · Weicheng Kuo · Yin Cui
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph Condensation for Graph Neural Networks
In Poster Session 2
Wei Jin · Lingxiao Zhao · Shichang Zhang · Yozen Liu · Jiliang Tang · Neil Shah
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Deep AutoAugment
In Poster Session 2
Yu Zheng · Zhi Zhang · Shen Yan · Mi Zhang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Language-driven Semantic Segmentation
In Poster Session 2
Boyi Li · Kilian Weinberger · Serge Belongie · Vladlen Koltun · Rene Ranftl
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scalable Sampling for Nonsymmetric Determinantal Point Processes
In Poster Session 2
Insu Han · Mike Gartrell · Jennifer Gillenwater · Elvis Dohmatob · Amin Karbasi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
In Poster Session 2
Yunjiang Jiang · Han Zhang · Yiming Qiu · Yun Xiao · Bo Long · Wen-Yun Yang
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
In Poster Session 2
Peihao Zhu · Rameen Abdal · John Femiani · Peter Wonka
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
In Poster Session 2
Mikhail Galkin · Etienne Denis · Jiapeng Wu · William Hamilton
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
In Poster Session 2
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Quadtree Attention for Vision Transformers
In Poster Session 2
Shitao Tang · Jiahui Zhang · Siyu Zhu · Ping Tan
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Network Augmentation for Tiny Deep Learning
In Poster Session 2
Han Cai · Chuang Gan · Ji Lin · Song Han
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continuous-Time Meta-Learning with Forward Mode Differentiation
In Poster Session 2
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)
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
In Poster Session 2
Jiawei Yang · Hanbo Chen · Jiangpeng Yan · Xiaoyu Chen · Jianhua Yao
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
In Poster Session 2
junfeng guo · Ang Li · Cong Liu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Noisy Feature Mixup
In Poster Session 2
Soon Hoe Lim · N. Benjamin Erichson · Francisco Utrera · Winnie Xu · Michael W Mahoney
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Optimizer Amalgamation
In Poster Session 2
Tianshu Huang · Tianlong Chen · Sijia Liu · Shiyu Chang · Lisa Amini · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
In Poster Session 2
Zirui Liu · Kaixiong Zhou · Fan Yang · Li Li · Rui Chen · Xia Hu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
In Poster Session 2
Feisi Fu · Wenchao Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Transferable Reward for Query Object Localization with Policy Adaptation
In Poster Session 2
Tingfeng Li · Shaobo Han · Martin Min · Dimitris Metaxas
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
In Poster Session 2
Ming Yin · Yaqi Duan · Mengdi Wang · Yu-Xiang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
In Poster Session 2
Brian DuSell · David Chiang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
In Poster Session 2
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)
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
In Poster Session 2
Sarath Sreedharan · Utkarsh Soni · Mudit Verma · Siddharth Srivastava · Subbarao Kambhampati
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
In Poster Session 2
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)
Contextualized Scene Imagination for Generative Commonsense Reasoning
In Poster Session 2
PeiFeng Wang · Jonathan Zamora · Junfeng Liu · Filip Ilievski · Muhao Chen · Xiang Ren
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chemical-Reaction-Aware Molecule Representation Learning
In Poster Session 2
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)
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
In Poster Session 2
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)
Information-theoretic Online Memory Selection for Continual Learning
In Poster Session 2
Shengyang Sun · Daniele Calandriello · Huiyi Hu · Ang Li · Michalis Titsias
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How Much Can CLIP Benefit Vision-and-Language Tasks?
In Poster Session 2
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)
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
In Poster Session 2
Yuqing Du · Pieter Abbeel · Aditya Grover
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Modular Lifelong Reinforcement Learning via Neural Composition
In Poster Session 2
Jorge Mendez · Harm van Seijen · ERIC EATON
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Visual Correspondence Hallucination
In Poster Session 2
Hugo Germain · Vincent Lepetit · Guillaume Bourmaud
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Effect of scale on catastrophic forgetting in neural networks
In Poster Session 2
Vinay Ramasesh · Aitor Lewkowycz · Ethan Dyer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
PAC Prediction Sets Under Covariate Shift
In Poster Session 2
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Privacy Implications of Shuffling
In Poster Session 2
Casey Meehan · Amrita Roy Chowdhury · Kamalika Chaudhuri · Somesh Jha
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
In Poster Session 2
Ye Yuan · Yuda Song · Zhengyi Luo · Wen Sun · Kris Kitani
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.
In Poster Session 2
Seyed Omid Davoudi · Majid Komeili
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
In Poster Session 2
Peihao Wang · Wenqing Zheng · Tianlong Chen · Zhangyang Wang
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Self-supervised Vision Transformers for Representation Learning
In Poster Session 2
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)
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
In Poster Session 2
Chaoyue Liu · Libin Zhu · Mikhail Belkin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
In Poster Session 2
Yibo Yang · Stephan Mandt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
In Poster Session 2
Dian Wang · Robin Walters · Robert Platt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
RegionViT: Regional-to-Local Attention for Vision Transformers
In Poster Session 2
Chun-Fu (Richard) Chen · Rameswar Panda · Quanfu Fan
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
In Poster Session 2
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)
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
In Poster Session 2
Eduardo Dadalto Câmara Gomes · Florence Alberge · Pierre Duhamel · Pablo Piantanida
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
In Poster Session 2
Albert Gu · Karan Goel · Christopher Re
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
In Poster Session 2
Thomas Gilles · Stefano Sabatini · Dzmitry Tsishkou · Bogdan Stanciulescu · Fabien Moutarde
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Stochastic Training is Not Necessary for Generalization
In Poster Session 2
Jonas Geiping · Micah Goldblum · Phil Pope · Michael Moeller · Tom Goldstein
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast AdvProp
In Poster Session 2
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)
On Predicting Generalization using GANs
In Poster Session 2
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
In Poster Session 2
Enyan Dai · Jie Chen
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
In Poster Session 2
Xiaohan Chen · Jason Zhang · Zhangyang Wang
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
In Poster Session 2
shuai ZHANG · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
FairCal: Fairness Calibration for Face Verification
In Poster Session 2
Tiago Salvador · Stephanie Cairns · Vikram Voleti · Noah Marshall · Adam Oberman
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How to deal with missing data in supervised deep learning?
In Poster Session 2
Niels Ipsen · Pierre-Alexandre Mattei · Jes Frellsen
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Adversarial Support Alignment
In Poster Session 2
Shangyuan Tong · Timur Garipov · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
In Poster Session 2
Fan Wu · Linyi Li · Zijian Huang · Yevgeniy Vorobeychik · DING ZHAO · Bo Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
In Poster Session 2
Zhisheng Xiao · Karsten Kreis · Arash Vahdat
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hierarchical Few-Shot Imitation with Skill Transition Models
In Poster Session 2
Kourosh Hakhamaneshi · Ruihan Zhao · Albert Zhan · Pieter Abbeel · Michael Laskin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Exploring the Limits of Large Scale Pre-training
In Poster Session 2
Samira Abnar · Mostafa Dehghani · Behnam Neyshabur · Hanie Sedghi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
A Generalized Weighted Optimization Method for Computational Learning and Inversion
In Poster Session 2
Kui Ren · Yunan Yang · Björn Engquist
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Coordination Among Neural Modules Through a Shared Global Workspace
In Poster Session 2
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) @ Virtual
The Spectral Bias of Polynomial Neural Networks
In Poster Session 2
Moulik Choraria · Leello Dadi · Grigorios Chrysos · Julien Mairal · Volkan Cevher
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Real-Time Neural Voice Camouflage
In Poster Session 2
Mia Chiquier · Chengzhi Mao · Carl Vondrick
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
In Poster Session 2
Bowen Shi · Wei-Ning Hsu · Kushal Lakhotia · Abdelrahman Mohamed
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast topological clustering with Wasserstein distance
In Poster Session 2
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Controlling Directions Orthogonal to a Classifier
In Poster Session 2
Yilun Xu · Hao He · Tianxiao Shen · Tommi Jaakkola
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Revisiting Design Choices in Offline Model Based Reinforcement Learning
In Poster Session 2
Cong Lu · Philip Ball · Jack Parker-Holder · Michael Osborne · S Roberts
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
An Experimental Design Perspective on Model-Based Reinforcement Learning
In Poster Session 2
Viraj Mehta · Biswajit Paria · Jeff Schneider · Stefano Ermon · Willie Neiswanger
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fair Normalizing Flows
In Poster Session 2
Mislav Balunovic · Anian Ruoss · Martin Vechev
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
In Poster Session 2
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Distributional Reinforcement Learning with Monotonic Splines
In Poster Session 2
Yudong Luo · Guiliang Liu · Haonan Duan · Oliver Schulte · Pascal Poupart
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Anisotropic Random Feature Regression in High Dimensions
In Poster Session 2
Gabriel Mel · Jeffrey Pennington
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
In Poster Session 2
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)
Mapping Language Models to Grounded Conceptual Spaces
In Poster Session 2
Roma Patel · Ellie Pavlick
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
In Poster Session 2
Ruilin Li · Hongyuan Zha · Molei Tao
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
In Poster Session 2
Tim Dockhorn · Arash Vahdat · Karsten Kreis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
In Poster Session 2
Morteza Ramezani · Weilin Cong · Mehrdad Mahdavi · Mahmut Kandemir · Anand Sivasubramaniam
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning by Directional Gradient Descent
In Poster Session 2
David Silver · Anirudh Goyal · Ivo Danihelka · Matteo Hessel · Hado van Hasselt
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
In Poster Session 2
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)
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
In Poster Session 2
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)
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
In Poster Session 2
Jaehyung Kim · Dongyeop Kang · Sungsoo Ahn · Jinwoo Shin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DEGREE: Decomposition Based Explanation for Graph Neural Networks
In Poster Session 2
Qizhang Feng · Ninghao Liu · Fan Yang · Ruixiang Tang · Mengnan Du · Xia Hu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chunked Autoregressive GAN for Conditional Waveform Synthesis
In Poster Session 2
Max Morrison · Rithesh Kumar · Kundan Kumar · Prem Seetharaman · Aaron Courville · Yoshua Bengio
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fast Model Editing at Scale
In Poster Session 2
Eric Mitchell · Charles Lin · Antoine Bosselut · Chelsea Finn · Christopher Manning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Actor-critic is implicitly biased towards high entropy optimal policies
In Poster Session 2
Yuzheng Hu · Ziwei Ji · Matus Telgarsky
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continual Learning with Filter Atom Swapping
In Poster Session 2
Zichen Miao · Ze Wang · Wei Chen · Qiang Qiu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DictFormer: Tiny Transformer with Shared Dictionary
In Poster Session 2
Qian Lou · Ting Hua · Yen-Chang Hsu · Yilin Shen · Hongxia Jin
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
In Poster Session 2
Xingyu Cai · Jiahong Yuan · Yuchen Bian · Guangxu Xun · Jiaji Huang · Kenneth Church
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
In Poster Session 2
Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning to Guide and to be Guided in the Architect-Builder Problem
In Poster Session 2
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)
Environment Predictive Coding for Visual Navigation
In Poster Session 2
Santhosh Kumar Ramakrishnan · Tushar Nagarajan · Ziad Al-Halah · Kristen Grauman
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hyperparameter Tuning with Renyi Differential Privacy
In Poster Session 2
Nicolas Papernot · Thomas Steinke
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
In Poster Session 2
Yan Zhang · David Zhang · Simon Lacoste-Julien · Gertjan J Burghouts · Cees G Snoek
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Offline Reinforcement Learning with Implicit Q-Learning
In Poster Session 2
Ilya Kostrikov · Ashvin Nair · Sergey Levine
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
In Poster Session 2
Jianwen Xie · yaxuan zhu · Jun Li · Ping Li
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
In Poster Session 2
Asma Ghandeharioun · Been Kim · Chun-Liang Li · Brendan Jou · Brian Eoff · Rosalind Picard
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Auto-Transfer: Learning to Route Transferable Representations
In Poster Session 2
Keerthiram Murugesan · Vijay Sadashivaiah · Ronny Luss · Karthikeyan Shanmugam · Pin-Yu Chen · Amit Dhurandhar
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Understanding Intrinsic Robustness Using Label Uncertainty
In Poster Session 2
Xiao Zhang · David Evans
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Salient ImageNet: How to discover spurious features in Deep Learning?
In Poster Session 2
Sahil Singla · Soheil Feizi
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
In Poster Session 2
Luca Scimeca · Seong Joon Oh · Sanghyuk Chun · Michael Poli · Sangdoo Yun
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Relating transformers to models and neural representations of the hippocampal formation
In Poster Session 2
James Whittington · Joseph Warren · Timothy Behrens
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Neural Relational Inference with Node-Specific Information
In Poster Session 2
Ershad Banijamali
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
In Poster Session 2
Dara Bahri · Heinrich Jiang · Yi Tay · Donald Metzler
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training
In Poster Session 2
PengCheng Yang · Xiaoming Zhang · Wenpeng Zhang · Ming Yang · Hong Wei
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
In Poster Session 2
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
In Poster Session 2
Thomas Pethick · Puya Latafat · Panos Patrinos · Olivier Fercoq · Volkan Cevher
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)
Controlling Directions Orthogonal to a Classifier
Yilun Xu · Hao He · Tianxiao Shen · Tommi Jaakkola
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)
Continual Learning with Filter Atom Swapping
Zichen Miao · Ze Wang · Wei Chen · Qiang Qiu
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)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell · David Chiang
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)
Adversarial Support Alignment
Shangyuan Tong · Timur Garipov · Yang Zhang · Shiyu Chang · Tommi Jaakkola
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
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)
On Predicting Generalization using GANs
Yi Zhang · Arushi Gupta · Nikunj Umesh Saunshi · Sanjeev Arora
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)
Exploring the Limits of Large Scale Pre-training
Samira Abnar · Mostafa Dehghani · Behnam Neyshabur · Hanie Sedghi
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)
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)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri · Heinrich Jiang · Yi Tay · Donald Metzler
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)
Hyperparameter Tuning with Renyi Differential Privacy
In Oral 1: Learning in the wild, Reinforcement learning
Nicolas Papernot · Thomas Steinke
Oral
Mon Apr 25 05:00 PM -- 05:15 PM (PDT)
Language modeling via stochastic processes
In Oral 1: AI Applications
Rose Wang · Esin Durmus · Noah Goodman · Tatsunori Hashimoto
Oral
Mon Apr 25 05:15 PM -- 05:30 PM (PDT)
PiCO: Contrastive Label Disambiguation for Partial Label Learning
In Oral 1: Learning in the wild, Reinforcement 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
In Oral 1: AI Applications
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
In Oral 1: AI Applications
Mia Chiquier · Chengzhi Mao · Carl Vondrick
Oral
Mon Apr 25 05:30 PM -- 05:45 PM (PDT)
Poisoning and Backdooring Contrastive Learning
In Oral 1: Learning in the wild, Reinforcement learning
Nicholas Carlini · Andreas Terzis
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
In Oral 1: AI Applications
Boris Oreshkin · Florent Bocquelet · Felix G. Harvey · Bay Raitt · Dominic Laflamme
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
In Oral 1: Learning in the wild, Reinforcement learning
Ye Yuan · Yuda Song · Zhengyi Luo · Wen Sun · Kris Kitani
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
The Information Geometry of Unsupervised Reinforcement Learning
In Oral 1: Learning in the wild, Reinforcement learning
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
In Oral 1: AI Applications
Sagar Vaze · Kai Han · Andrea Vedaldi · Andrew Zisserman
Oral
Mon Apr 25 06:15 PM -- 06:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
In Oral 1: AI Applications
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
In Oral 1: Learning in the wild, Reinforcement learning
Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
In Poster Session 3
Changhee Lee · Fergus Imrie · Mihaela van der Schaar
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Variational oracle guiding for reinforcement learning
In Poster Session 3
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)
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
In Poster Session 3
Ryo Karakida · Shotaro Akaho
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
In Poster Session 3
Biwei Huang · Fan Feng · Chaochao Lu · Sara Magliacane · Kun Zhang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
In Poster Session 3
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)
The Close Relationship Between Contrastive Learning and Meta-Learning
In Poster Session 3
Renkun Ni · Manli Shu · Hossein Souri · Micah Goldblum · Tom Goldstein
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FastSHAP: Real-Time Shapley Value Estimation
In Poster Session 3
Neil Jethani · Mukund Sudarshan · Ian Covert · Su-In Lee · Rajesh Ranganath
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
In Poster Session 3
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)
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
In Poster Session 3
Minkai Xu · Lantao Yu · Yang Song · Chence Shi · Stefano Ermon · Jian Tang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Continual Knowledge Learning of Language Models
In Poster Session 3
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)
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
In Poster Session 3
Kirby Banman · Garnet Liam Peet-Pare · Nidhi Hegde · Alona Fyshe · Martha White
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
In Poster Session 3
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
In Poster Session 3
Sachin Konan · Esmaeil Seraj · Matthew Gombolay
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Weighted Training for Cross-Task Learning
In Poster Session 3
Shuxiao Chen · Koby Crammer · Hangfeng He · Dan Roth · Weijie J Su
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
In Poster Session 3
Mingyu Kim · Kyeong Ryeol Go · Se-Young Yun
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
In Poster Session 3
Yuning You · Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
MoReL: Multi-omics Relational Learning
In Poster Session 3
Arman Hasanzadeh · Ehsan Hajiramezanali · Nick Duffield · Xiaoning Qian
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Path Integral Sampler: A Stochastic Control Approach For Sampling
In Poster Session 3
Qinsheng Zhang · Yongxin Chen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning
In Poster Session 3
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)
On the Learning and Learnability of Quasimetrics
In Poster Session 3
Tongzhou Wang · Phillip Isola
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
In Poster Session 3
Zhijian Yang · Junhao Wen · Christos Davatzikos
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
In Poster Session 3
Yifei Wang · Qi Zhang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
What Do We Mean by Generalization in Federated Learning?
In Poster Session 3
Honglin Yuan · Warren Morningstar · Lin Ning · Karan Singhal
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
In Poster Session 3
Thien Le · Stefanie Jegelka
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Representational Continuity for Unsupervised Continual Learning
In Poster Session 3
Divyam Madaan · Jaehong Yoon · Yuanchun Li · Yunxin Liu · Sung Ju Hwang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
In Poster Session 3
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)
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
In Poster Session 3
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)
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
In Poster Session 3
Johan Bjorck · Carla Gomes · Kilian Weinberger
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Task Relatedness-Based Generalization Bounds for Meta Learning
In Poster Session 3
Jiechao Guan · Zhiwu Lu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
In Poster Session 3
Desik Rengarajan · Gargi Vaidya · Akshay Sarvesh · Dileep Kalathil · Srinivas Shakkottai
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
In Poster Session 3
Shaofeng Zhang · Feng Zhu · Junchi Yan · Rui Zhao · Xiaokang Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Emergent Communication at Scale
In Poster Session 3
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)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
In Poster Session 3
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) @ Virtual
Equivariant Transformers for Neural Network based Molecular Potentials
In Poster Session 3
Philipp Thölke · Gianni De Fabritiis
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generative Models as a Data Source for Multiview Representation Learning
In Poster Session 3
Ali Jahanian · Xavier Puig · Yonglong Tian · Phillip Isola
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Automated Self-Supervised Learning for Graphs
In Poster Session 3
Wei Jin · Xiaorui Liu · Xiangyu Zhao · Yao Ma · Neil Shah · Jiliang Tang
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
In Poster Session 3
Jaewoong Choi · Junho Lee · Changyeon Yoon · Jung Ho Park · Geonho Hwang · Myungjoo Kang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
In Poster Session 3
Chenxi Yang · Swarat Chaudhuri
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViTGAN: Training GANs with Vision Transformers
In Poster Session 3
Kwonjoon Lee · Huiwen Chang · Lu Jiang · Han Zhang · Zhuowen Tu · Ce Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Fast Generic Interaction Detection for Model Interpretability and Compression
In Poster Session 3
Tianjian Zhang · Feng Yin · Zhi-Quan Luo
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Focus on the Common Good: Group Distributional Robustness Follows
In Poster Session 3
Vihari Piratla · Praneeth Netrapalli · Sunita Sarawagi
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
GNN is a Counter? Revisiting GNN for Question Answering
In Poster Session 3
Kuan Wang · Yuyu Zhang · Diyi Yang · Le Song · Tao Qin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Taming Sparsely Activated Transformer with Stochastic Experts
In Poster Session 3
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)
On Non-Random Missing Labels in Semi-Supervised Learning
In Poster Session 3
Xinting Hu · Yulei Niu · Chunyan Miao · Xian-Sheng Hua · Hanwang Zhang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Conditional Image Generation by Conditioning Variational Auto-Encoders
In Poster Session 3
William Harvey · Saeid Naderiparizi · Frank Wood
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generalized Decision Transformer for Offline Hindsight Information Matching
In Poster Session 3
Hiroki Furuta · Yutaka Matsuo · Shixiang Gu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
In Poster Session 3
Zhuoning Yuan · Zhishuai Guo · Nitesh Chawla · Tianbao Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FedBABU: Toward Enhanced Representation for Federated Image Classification
In Poster Session 3
Jaehoon Oh · SangMook Kim · Se-Young Yun
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
In Poster Session 3
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)
Efficient and Differentiable Conformal Prediction with General Function Classes
In Poster Session 3
Yu Bai · Song Mei · Huan Wang · Yingbo Zhou · Caiming Xiong
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
In Poster Session 3
Jianda Chen · Sinno Pan
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Robust Prefix-Tuning for Text Classification
In Poster Session 3
Zonghan Yang · Yang Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Regularized Autoencoders for Isometric Representation Learning
In Poster Session 3
Yonghyeon Lee · Sangwoong Yoon · MinJun Son · Frank Park
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
In Poster Session 3
Debasmit Das · Sungrack Yun · Fatih Porikli
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Language modeling via stochastic processes
In Poster Session 3
Rose Wang · Esin Durmus · Noah Goodman · Tatsunori Hashimoto
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Unconstrained Layer-Peeled Perspective on Neural Collapse
In Poster Session 3
Wenlong Ji · Yiping Lu · Yiliang Zhang · Zhun Deng · Weijie J Su
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
In Poster Session 3
Jiefeng Chen · Xi Wu · Yang Guo · Yingyu Liang · Somesh Jha
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
In Poster Session 3
Joonhyung Park · Jaeyun Song · Eunho Yang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
In Poster Session 3
Dacheng Yin · Xuanchi Ren · Chong Luo · Yuwang Wang · Zhiwei Xiong · Wenjun Zeng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
In Poster Session 3
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) @ Virtual
BiBERT: Accurate Fully Binarized BERT
In Poster Session 3
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)
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
In Poster Session 3
Quang Pham · Chenghao Liu · Steven HOI
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
In Poster Session 3
Wengong Jin · Jeremy Wohlwend · Regina Barzilay · Tommi Jaakkola
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
In Poster Session 3
Tong Bu · Wei Fang · Jianhao Ding · PENGLIN DAI · Zhaofei Yu · Tiejun Huang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
In Poster Session 3
Ruihan Yang · Minghao Zhang · Nicklas Hansen · Huazhe Xu · Xiaolong Wang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Probabilistic Implicit Scene Completion
In Poster Session 3
Dongsu Zhang · Changwoon Choi · Inbum Park · Young Min Kim
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Online Coreset Selection for Rehearsal-based Continual Learning
In Poster Session 3
Jaehong Yoon · Divyam Madaan · Eunho Yang · Sung Ju Hwang
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Evaluation Metrics for Graph Generative Models
In Poster Session 3
Rylee Thompson · Boris Knyazev · Elahe Ghalebi · Jungtaek Kim · Graham W Taylor
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
In Poster Session 3
Minghao Guo · Veronika Thost · Beichen Li · Payel Das · Jie Chen · Wojciech Matusik
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
In Poster Session 3
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)
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
In Poster Session 3
Bing Su · Ji-Rong Wen
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Rethinking Adversarial Transferability from a Data Distribution Perspective
In Poster Session 3
Yao Zhu · Jiacheng Sun · Zhenguo Li
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Unsupervised Discovery of Object Radiance Fields
In Poster Session 3
Koven Yu · Leonidas Guibas · Jiajun Wu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
In Poster Session 3
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)
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
In Poster Session 3
Xuanchi Ren · Tao Yang · Yuwang Wang · Wenjun Zeng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Models for Output-Space Invariance in Combinatorial Problems
In Poster Session 3
Yatin Nandwani · Vidit Jain · Mausam . · Parag Singla
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
In Poster Session 3
Xiaoyu Liu · Jiahao Su · Furong Huang
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
In Poster Session 3
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Trigger Hunting with a Topological Prior for Trojan Detection
In Poster Session 3
Xiaoling Hu · Xiao Lin · Michael Cogswell · Yi Yao · Susmit Jha · Chao Chen
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
In Poster Session 3
Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Objects in Semantic Topology
In Poster Session 3
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)
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
In Poster Session 3
Jiaxian Guo · Mingming Gong · Dacheng Tao
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
In Poster Session 3
Shizhan Zhu · Sayna Ebrahimi · Angjoo Kanazawa · trevor darrell
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Geometric Transformers for Protein Interface Contact Prediction
In Poster Session 3
Alex Morehead · Chen Chen · Jianlin Cheng
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Contextual Bandits with Deep Representation and Shallow Exploration
In Poster Session 3
Pan Xu · Zheng Wen · Handong Zhao · Quanquan Gu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
In Poster Session 3
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)
Target-Side Input Augmentation for Sequence to Sequence Generation
In Poster Session 3
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)
Understanding the Role of Self Attention for Efficient Speech Recognition
In Poster Session 3
Kyuhong Shim · Jungwook Choi · Wonyong Sung
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Program Synthesis with Query
In Poster Session 3
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)
Continual Learning with Recursive Gradient Optimization
In Poster Session 3
Hao Liu · Huaping Liu
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Decoupled Adaptation for Cross-Domain Object Detection
In Poster Session 3
Junguang Jiang · baixu chen · Jianmin Wang · Mingsheng Long
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)
Task Relatedness-Based Generalization Bounds for Meta Learning
Jiechao Guan · Zhiwu Lu
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)
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)
Self-Supervision Enhanced Feature Selection with Correlated Gates
Changhee Lee · Fergus Imrie · Mihaela van der Schaar
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)
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)
Continual Learning with Recursive Gradient Optimization
Hao Liu · Huaping Liu
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)
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)
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta · Yutaka Matsuo · Shixiang Gu
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)
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)
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)
Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke · Gianni De Fabritiis
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)
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)
Understanding over-squashing and bottlenecks on graphs via curvature
In Oral 2: Structured learning
Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
In Oral 2: AI applications
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
In Oral 2: Understanding Deep Learning
Floris Geerts · Juan L. Reutter
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
In Oral 2: Understanding Deep Learning
X.Y. Han · Vardan Papyan · David Donoho
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
In Oral 2: AI applications
Lixu Wang · Shichao Xu · Ruiqi Xu · Xiao Wang · Qi Zhu
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
In Oral 2: Structured learning
Albert Gu · Karan Goel · Christopher Re
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
In Oral 2: AI applications
Minghao Guo · Veronika Thost · Beichen Li · Payel Das · Jie Chen · Wojciech Matusik
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Learning Strides in Convolutional Neural Networks
In Oral 2: Understanding Deep Learning
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Neural Structured Prediction for Inductive Node Classification
In Oral 2: Structured learning
Meng Qu · Huiyu Cai · Jian Tang
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
In Oral 2: Structured learning
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
In Oral 2: Understanding Deep Learning
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
In Oral 2: AI applications
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
In Oral 2: Structured learning
Shoufa Chen · Enze Xie · Chongjian GE · Runjian Chen · Ding Liang · Ping Luo
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
In Oral 2: AI applications
Alex Rogozhnikov
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
In Oral 2: Understanding Deep Learning
Chulhee Yun · Shashank Rajput · Suvrit Sra
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
In Oral 2: Structured learning
Kohei Miyaguchi · Takayuki Katsuki · Akira Koseki · Toshiya Iwamori
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
In Oral 2: Understanding Deep Learning
Huiqi Deng · Qihan Ren · Hao Zhang · Quanshi Zhang
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
In Oral 2: AI applications
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski
Oral
Tue Apr 26 02:30 AM -- 02:45 AM (PDT)
Representational Continuity for Unsupervised Continual Learning
In Oral 2: Understanding Deep Learning
Divyam Madaan · Jaehong Yoon · Yuanchun Li · Yunxin Liu · Sung Ju Hwang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
In Poster Session 4
Minghao Han · Jacob Euler-Rolle · Robert Katzschmann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
In Poster Session 4
Steeven Janny · Fabien Baradel · Natalia Neverova · Madiha Nadri · Greg Mori · Christian Wolf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Phase Collapse in Neural Networks
In Poster Session 4
Florentin Guth · John Zarka · Stéphane Mallat
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Label-Efficient Semantic Segmentation with Diffusion Models
In Poster Session 4
Dmitry Baranchuk · Andrey Voynov · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Fooling Explanations in Text Classifiers
In Poster Session 4
Adam Ivankay · Ivan Girardi · Chiara Marchiori · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
In Poster Session 4
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)
Transformers Can Do Bayesian Inference
In Poster Session 4
Samuel Müller · Noah Hollmann · Sebastian Pineda Arango · Josif Grabocka · Frank Hutter
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
In Poster Session 4
Bo Wan · Wenjuan Han · Zilong Zheng · Tinne Tuytelaars
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
In Poster Session 4
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)
Do We Need Anisotropic Graph Neural Networks?
In Poster Session 4
Shyam Tailor · Felix Opolka · Pietro Lio · Nicholas Lane
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Program to Build E(N)-Equivariant Steerable CNNs
In Poster Session 4
Gabriele Cesa · Leon Lang · Maurice Weiler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Self-Supervised Inference in State-Space Models
In Poster Session 4
David Ruhe · Patrick Forré
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Connection between Local Attention and Dynamic Depth-wise Convolution
In Poster Session 4
Qi Han · Zejia Fan · Qi Dai · Lei Sun · Ming-Ming Cheng · Jiaying Liu · Jingdong Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Generative Principal Component Analysis
In Poster Session 4
Zhaoqiang Liu · Jiulong Liu · Subhroshekhar Ghosh · Jun Han · Jonathan Scarlett
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Strides in Convolutional Neural Networks
In Poster Session 4
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning meta-features for AutoML
In Poster Session 4
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Divergence-aware Federated Self-Supervised Learning
In Poster Session 4
Weiming Zhuang · Yonggang Wen · Shuai Zhang
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
In Poster Session 4
Marine Schimel · Ta-Chu Kao · Kristopher Jensen · Guillaume Hennequin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
In Poster Session 4
Alexander (Oleksandr) Shekhovtsov · Dmitrij Schlesinger · Boris Flach
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
In Poster Session 4
Alex Chan · Alicia Curth · Mihaela van der Schaar
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
A generalization of the randomized singular value decomposition
In Poster Session 4
Nicolas Boulle · Alex Townsend
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
In Poster Session 4
Stefanos Leonardos · Will Overman · Ioannis Panageas · Georgios Piliouras
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Rethinking Supervised Pre-Training for Better Downstream Transferring
In Poster Session 4
Yutong Feng · Jianwen Jiang · Mingqian Tang · Rong Jin · Yue Gao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Graphon Mean Field Games and Approximate Nash Equilibria
In Poster Session 4
Kai Cui · Heinz Koeppl
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
In Poster Session 4
Thanh Nguyen-Tang · Sunil Gupta · A. Tuan Nguyen · Svetha Venkatesh
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Sound Adversarial Audio-Visual Navigation
In Poster Session 4
Yinfeng Yu · Wenbing Huang · Fuchun Sun · Changan Chen · Yikai Wang · Xiaohong Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Handling Distribution Shifts on Graphs: An Invariance Perspective
In Poster Session 4
Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Gradient Step Denoiser for convergent Plug-and-Play
In Poster Session 4
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
In Poster Session 4
Zhong Li · Haotian Jiang · Qianxiao Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Optimal Conformal Classifiers
In Poster Session 4
David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning to Downsample for Segmentation of Ultra-High Resolution Images
In Poster Session 4
Chen Jin · Ryutaro Tanno · Thomy Mertzanidou · Eleftheria Panagiotaki · Daniel Alexander
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
PiCO: Contrastive Label Disambiguation for Partial Label Learning
In Poster Session 4
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)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
In Poster Session 4
Yunji Kim · Jung-Woo Ha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
In Poster Session 4
Jérémie DONA · Marie Déchelle · patrick gallinari · Marina Levy
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
In Poster Session 4
Yutong Wang · Ke Xue · Chao Qian
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
In Poster Session 4
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)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
In Poster Session 4
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)
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
In Poster Session 4
Kunhao Zheng · Jesse Han · Stanislas Polu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
In Poster Session 4
Wenhao Li · Xiangfeng Wang · Bo Jin · Junjie Sheng · Hongyuan Zha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
In Poster Session 4
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) @ Virtual
L0-Sparse Canonical Correlation Analysis
In Poster Session 4
Ofir Lindenbaum · Moshe Salhov · Amir Averbuch · Yuval Kluger
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
In Poster Session 4
Spyridon Mouselinos · Henryk Michalewski · Mateusz Malinowski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
In Poster Session 4
Hanyu Peng · Mingming Sun · Ping Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
MAML is a Noisy Contrastive Learner in Classification
In Poster Session 4
Chia-Hsiang Kao · Wei-Chen Chiu · Pin-Yu Chen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
In Poster Session 4
Ryuichi Kanoh · Mahito Sugiyama
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
In Poster Session 4
Hang Zhao · Yang Yu · Kai Xu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
In Poster Session 4
Rafał Szlendak · Alexander Tyurin · Peter Richtarik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A First-Occupancy Representation for Reinforcement Learning
In Poster Session 4
Ted Moskovitz · Spencer Wilson · Maneesh Sahani
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Zero Pixel Directional Boundary by Vector Transform
In Poster Session 4
Edoardo Mello Rella · Ajad Chhatkuli · Yun Liu · Ender Konukoglu · Luc Van Gool
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Imitation Learning by Reinforcement Learning
In Poster Session 4
Kamil Ciosek
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Self-ensemble Adversarial Training for Improved Robustness
In Poster Session 4
Hongjun Wang · Yisen Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
In Poster Session 4
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
The Evolution of Uncertainty of Learning in Games
In Poster Session 4
Yun Kuen Cheung · Georgios Piliouras · Yixin Tao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
In Poster Session 4
Asiri Wijesinghe · Qing Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
In Poster Session 4
Jason McEwen · Christopher Wallis · Augustine Mavor-Parker
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Relational Learning with Variational Bayes
In Poster Session 4
Kuang-Hung Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
In Poster Session 4
Youngsoo Jang · Jongmin Lee · Kee-Eung Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
In Poster Session 4
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)
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
In Poster Session 4
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)
Distributionally Robust Models with Parametric Likelihood Ratios
In Poster Session 4
Paul Michel · Tatsunori Hashimoto · Graham Neubig
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
In Poster Session 4
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)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
In Poster Session 4
Marten Lienen · Stephan Günnemann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
NeuPL: Neural Population Learning
In Poster Session 4
SIQI LIU · Luke Marris · Daniel Hennes · Josh Merel · Nicolas Heess · Thore Graepel
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Augmented Sliced Wasserstein Distances
In Poster Session 4
Xiongjie Chen · Yongxin Yang · Yunpeng Li
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
In Poster Session 4
Borja G. Leon · Murray Shanahan · Francesco Belardinelli
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
In Poster Session 4
Baptiste Roziere · Jie Zhang · François Charton · Mark Harman · Gabriel Synnaeve · Guillaume Lample
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unrolling PALM for Sparse Semi-Blind Source Separation
In Poster Session 4
Mohammad Fahes · Christophe Kervazo · Jerome Bobin · Florence Tupin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning over Latent Domains
In Poster Session 4
Lucas Deecke · Timothy Hospedales · Hakan Bilen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Delaunay Component Analysis for Evaluation of Data Representations
In Poster Session 4
Petra Poklukar · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
In Poster Session 4
Max W. Y. Lam · Jun Wang · Dan Su · Dong Yu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
In Poster Session 4
Michael Arbel · Julien Mairal
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Top-N: Equivariant Set and Graph Generation without Exchangeability
In Poster Session 4
Clément Vignac · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
In Poster Session 4
Shuming Kong · Yanyan Shen · Linpeng Huang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
In Poster Session 4
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) @ Virtual
Explainable GNN-Based Models over Knowledge Graphs
In Poster Session 4
David Jaime Tena Cucala · Bernardo Grau · Egor Kostylev · Boris Motik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Neural Variational Dropout Processes
In Poster Session 4
Insu Jeon · Youngjin Park · Gunhee Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Large-Scale Representation Learning on Graphs via Bootstrapping
In Poster Session 4
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)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
In Poster Session 4
Marc Vischer · Robert Lange · Henning Sprekeler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
In Poster Session 4
Gerald Woo · Chenghao Liu · Doyen Sahoo · Akshat Kumar · Steven Hoi
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
In Poster Session 4
Qu Tang · Xiangyu Zhu · Zhen Lei · Zhaoxiang Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
In Poster Session 4
Zhaoyang Lyu · Zhifeng Kong · Xudong XU · Liang Pan · Dahua Lin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
In Poster Session 4
Steven James · Benjamin Rosman · George D Konidaris
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)
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)
On the approximation properties of recurrent encoder-decoder architectures
Zhong Li · Haotian Jiang · Qianxiao Li
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)
VAE Approximation Error: ELBO and Exponential Families
Alexander (Oleksandr) Shekhovtsov · Dmitrij Schlesinger · Boris Flach
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)
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)
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han · Zejia Fan · Qi Dai · Lei Sun · Ming-Ming Cheng · Jiaying Liu · Jingdong Wang
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
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)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
In Poster Session 5
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
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
In Poster Session 5
Dennis Wu · Di-Nan Lin · Vincent Chen · Hung-Hsuan Chen
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
VC dimension of partially quantized neural networks in the overparametrized regime
In Poster Session 5
Yutong Wang · Clayton Scott
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Planning in Stochastic Environments with a Learned Model
In Poster Session 5
Ioannis Antonoglou · Julian Schrittwieser · Sherjil Ozair · Thomas Hubert · David Silver
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Leveraging unlabeled data to predict out-of-distribution performance
In Poster Session 5
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Label Encoding for Regression Networks
In Poster Session 5
Deval Shah · Zi Yu Xue · Tor Aamodt
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Predicting Physics in Mesh-reduced Space with Temporal Attention
In Poster Session 5
XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
In Poster Session 5
Alizée Pace · Alex Chan · Mihaela van der Schaar
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably Robust Adversarial Examples
In Poster Session 5
Dimitar I. Dimitrov · Gagandeep Singh · Timon Gehr · Martin Vechev
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
BAM: Bayes with Adaptive Memory
In Poster Session 5
Josue Nassar · Jennifer Brennan · Ben Evans · Kendall Lowrey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
In Poster Session 5
Sagar Vaze · Kai Han · Andrea Vedaldi · Andrew Zisserman
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
In Poster Session 5
Sai Karimireddy · Lie He · Martin Jaggi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
In Poster Session 5
Huan Liu · George Zhang · Jun Chen · Ashish Khisti
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
In Poster Session 5
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)
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
In Poster Session 5
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)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
In Poster Session 5
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) @ Virtual
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
In Poster Session 5
Xiaofang Wang · Dan Kondratyuk · Eric Christiansen · Kris Kitani · Yair Movshovitz-Attias · Elad Eban
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradMax: Growing Neural Networks using Gradient Information
In Poster Session 5
Utku Evci · Bart van Merrienboer · Thomas Unterthiner · Fabian Pedregosa · Max Vladymyrov
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
In Poster Session 5
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) @ Virtual
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
In Poster Session 5
Zhen Xiang · David Miller · George Kesidis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
In Poster Session 5
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)
One After Another: Learning Incremental Skills for a Changing World
In Poster Session 5
Nur Muhammad Shafiullah · Lerrel Pinto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
In Poster Session 5
Shikuang Deng · Yuhang Li · Shanghang Zhang · Shi Gu
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
In Poster Session 5
Xu Ma · Can Qin · Haoxuan You · Haoxi Ran · Yun Fu
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
In Poster Session 5
Namjoon Suh · Hyunouk Ko · Xiaoming Huo
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
In Poster Session 5
Sitan Chen · Jerry Li · Yuanzhi Li · Raghu Meka
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
In Poster Session 5
Zhiyuan Li · Tianhao Wang · Sanjeev Arora
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Evaluating Distributional Distortion in Neural Language Modeling
In Poster Session 5
Benjamin LeBrun · Alessandro Sordoni · Timothy O'Donnell
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
In Poster Session 5
Dhruvesh Patel · Pavitra Dangati · Jay-Yoon Lee · Michael Boratko · Andrew McCallum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Curriculum learning as a tool to uncover learning principles in the brain
In Poster Session 5
Daniel R Kepple · Rainer Engelken · Kanaka Rajan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Granger causal inference on DAGs identifies genomic loci regulating transcription
In Poster Session 5
Alexander Wu · Rohit Singh · Bonnie Berger
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Revisiting flow generative models for Out-of-distribution detection
In Poster Session 5
Dihong Jiang · Sun Sun · Yaoliang Yu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
In Poster Session 5
Ruicheng Xian · Heng Ji · Han Zhao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Feature Kernel Distillation
In Poster Session 5
Bobby He · Mete Ozay
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Differentiable Scaffolding Tree for Molecule Optimization
In Poster Session 5
Tianfan Fu · Wenhao Gao · Cao Xiao · Jacob Yasonik · Connor Coley · Jimeng Sun
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
In Poster Session 5
Chu-Cheng Lin · Arya McCarthy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Model Agnostic Federated Learning Using Knowledge Distillation
In Poster Session 5
Andrei Afonin · Sai Karimireddy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Synchromesh: Reliable Code Generation from Pre-trained Language Models
In Poster Session 5
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)
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
In Poster Session 5
Chuanyu Pan · Yanchao Yang · Kaichun Mo · Yueqi Duan · Leonidas Guibas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
In Poster Session 5
Leon Sixt · Martin Schuessler · Oana-Iuliana Popescu · Philipp Weiß · Tim Landgraf
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
In Poster Session 5
Sugandha Sharma · Aidan Curtis · Marta Kryven · Joshua B Tenenbaum · Ila Fiete
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
In Poster Session 5
Huaxiu Yao · Linjun Zhang · Chelsea Finn
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
In Poster Session 5
Chao Ma · Lexing Ying
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
In Poster Session 5
Sahil Singla · Surbhi Singla · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
In Poster Session 5
Ofir Press · Noah Smith · Mike Lewis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Selective Ensembles for Consistent Predictions
In Poster Session 5
Emily Black · Klas Leino · Matt Fredrikson
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Know Your Action Set: Learning Action Relations for Reinforcement Learning
In Poster Session 5
Ayush Jain · Norio Kosaka · Kyung-Min Kim · Joseph Lim
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Transfer RL across Observation Feature Spaces via Model-Based Regularization
In Poster Session 5
Yanchao Sun · Ruijie Zheng · Xiyao Wang · Andrew Cohen · Furong Huang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
In Poster Session 5
Chen Zhu · Zheng Xu · Mingqing Chen · Jakub Konečný · Andrew Hard · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Variational methods for simulation-based inference
In Poster Session 5
Manuel Glöckler · Michael Deistler · Jakob Macke
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
In Poster Session 5
Maximilian Seitzer · Arash Tavakoli · Dimitrije Antic · Georg Martius
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
In Poster Session 5
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Subspace Regularizers for Few-Shot Class Incremental Learning
In Poster Session 5
Afra Feyza Akyürek · Ekin Akyürek · Derry Wijaya · Jacob Andreas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
In Poster Session 5
Keir Adams · Lagnajit Pattanaik · Connor Coley
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
In Poster Session 5
Floris Geerts · Juan L. Reutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Dual Lottery Ticket Hypothesis
In Poster Session 5
Yue Bai · Huan Wang · Zhiqiang Tao · Kunpeng Li · Yun Fu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Triangle and Four Cycle Counting with Predictions in Graph Streams
In Poster Session 5
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)
Improving Non-Autoregressive Translation Models Without Distillation
In Poster Session 5
Xiao Shi (Gary) Huang · Felipe Perez · Maksims Volkovs
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Is Importance Weighting Incompatible with Interpolating Classifiers?
In Poster Session 5
Ke Wang · Niladri Chatterji · Saminul Haque · Tatsunori Hashimoto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provable Adaptation across Multiway Domains via Representation Learning
In Poster Session 5
Zhili Feng · Shaobo Han · Simon Du
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Scaling Laws for Neural Machine Translation
In Poster Session 5
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)
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
In Poster Session 5
Huan He · Shifan Zhao · Yuanzhe Xi · Joyce Ho · Yousef Saad
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
In Poster Session 5
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)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
In Poster Session 5
Li Jing · Pascal Vincent · Yann LeCun · Yuandong Tian
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Optimizing Neural Networks with Gradient Lexicase Selection
In Poster Session 5
Li Ding · Lee Spector
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
In Poster Session 5
Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
In Poster Session 5
Greg Yang · Michael Santacroce · Edward Hu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Efficient Active Search for Combinatorial Optimization Problems
In Poster Session 5
André Hottung · Yeong Dae Kwon · Kevin Tierney
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
In Poster Session 5
Bichen Wu · Ruizhe Cheng · Peizhao Zhang · Tianren Gao · Joseph E Gonzalez · Peter Vajda
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Role of Neural Collapse in Transfer Learning
In Poster Session 5
Tomer Galanti · Andras Gyorgy · Marcus Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Value Functions from Undirected State-only Experience
In Poster Session 5
Matthew Chang · Arjun Gupta · Saurabh Gupta
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Discrete Representations Strengthen Vision Transformer Robustness
In Poster Session 5
Chengzhi Mao · Lu Jiang · Mostafa Dehghani · Carl Vondrick · Rahul Sukthankar · Irfan Essa
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
In Poster Session 5
Eli Chien · Chao Pan · Jianhao Peng · Olgica Milenkovic
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bootstrapped Meta-Learning
In Poster Session 5
Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A global convergence theory for deep ReLU implicit networks via over-parameterization
In Poster Session 5
Tianxiang Gao · Hailiang Liu · Jia Liu · Hridesh Rajan · Hongyang Gao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
In Poster Session 5
Majid Jahani · Sergey Rusakov · Zheng Shi · Peter Richtarik · Michael W Mahoney · Martin Takac
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
In Poster Session 5
Siyan Liu · Pei Zhang · Dan Lu · Guannan Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
In Poster Session 5
Boris Oreshkin · Florent Bocquelet · Felix G. Harvey · Bay Raitt · Dominic Laflamme
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Fairness Guarantees under Demographic Shift
In Poster Session 5
Stephen Giguere · Blossom Metevier · Bruno Silva · Yuriy Brun · Philip Thomas · Scott Niekum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
MetaMorph: Learning Universal Controllers with Transformers
In Poster Session 5
Agrim Gupta · Jim Fan · Surya Ganguli · Li Fei-Fei
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
In Poster Session 5
Ziwei Guan · Tengyu Xu · Yingbin Liang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
In Poster Session 5
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)
Generalized Kernel Thinning
In Poster Session 5
Raaz Dwivedi · Lester Mackey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
In Poster Session 5
Benjamin Hudson · Qingbiao Li · Matthew Malencia · Amanda Prorok
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
In Poster Session 5
Jinyuan Jia · Binghui Wang · Xiaoyu Cao · Hongbin Liu · Neil Gong
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
In Poster Session 5
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)
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
In Poster Session 5
Moise Blanchard · Mohammed Amine Bennouna
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
In Poster Session 5
Yang Song · Liyue Shen · Lei Xing · Stefano Ermon
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
In Poster Session 5
Tianrong Chen · Guan-Horng Liu · Evangelos Theodorou
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
In Poster Session 5
Benjamin Newman · Prafulla Kumar Choubey · Nazneen Rajani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Fine-Tuning Approach to Belief State Modeling
In Poster Session 5
Samuel Sokota · Hengyuan Hu · David Wu · Zico Kolter · Jakob Foerster · Noam Brown
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
In Poster Session 5
Arber Zela · Julien Niklas Siems · Lucas Zimmer · Jovita Lukasik · Margret Keuper · Frank Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
In Poster Session 5
Xiang Zhang · Marko Zeman · Theodoros Tsiligkaridis · Marinka Zitnik
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
In Poster Session 5
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)
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
In Poster Session 5
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
In Poster Session 5
Tianqin Li · Zijie Li · Andrew Luo · Harold Rockwell · Amir Barati Farimani · Tai Lee
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
An Explanation of In-context Learning as Implicit Bayesian Inference
In Poster Session 5
Sang Michael Xie · Aditi Raghunathan · Percy Liang · Tengyu Ma
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
In Poster Session 5
Zihan Zhou · Wei Fu · Bingliang Zhang · Yi Wu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Permutation-Based SGD: Is Random Optimal?
In Poster Session 5
Shashank Rajput · Kangwook Lee · Dimitris Papailiopoulos
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The Uncanny Similarity of Recurrence and Depth
In Poster Session 5
Avi Schwarzschild · Arjun Gupta · Amin Ghiasi · Micah Goldblum · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data-Driven Offline Optimization for Architecting Hardware Accelerators
In Poster Session 5
Aviral Kumar · Amir Yazdanbakhsh · Milad Hashemi · Kevin Swersky · Sergey Levine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
In Poster Session 5
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)
Maximizing Ensemble Diversity in Deep Reinforcement Learning
In Poster Session 5
Hassam Sheikh · mariano Phielipp · Ladislau Boloni
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Interpretable Unsupervised Diversity Denoising and Artefact Removal
In Poster Session 5
Mangal Prakash · Mauricio Delbracio · Peyman Milanfar · Florian Jug
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
In Poster Session 5
Kristof Meding · Luca Schulze Buschoff · Robert Geirhos · Felix Wichmann
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
In Poster Session 5
FNU Hairi · Jia Liu · Songtao Lu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Neural Contextual Bandits through Perturbed Rewards
In Poster Session 5
Yiling Jia · Weitong ZHANG · Dongruo Zhou · Quanquan Gu · Hongning Wang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Stiffness-aware neural network for learning Hamiltonian systems
In Poster Session 5
SENWEI Liang · Zhongzhan Huang · Hong Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
In Poster Session 5
Samet Cetin · Orhun Baran · Ramazan Gokberk Cinbis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
In Poster Session 5
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)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
In Poster Session 5
Bogdan Mazoure · Ahmed Ahmed · R Devon Hjelm · Andrey Kolobov · Patrick MacAlpine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Online Adversarial Attacks
In Poster Session 5
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)
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
In Poster Session 5
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)
GradSign: Model Performance Inference with Theoretical Insights
In Poster Session 5
Zhihao Zhang · Zhihao Jia
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
In Poster Session 5
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)
Policy Smoothing for Provably Robust Reinforcement Learning
In Poster Session 5
Aounon Kumar · Alexander Levine · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
In Poster Session 5
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)
Policy Gradients Incorporating the Future
In Poster Session 5
David Venuto · Elaine Lau · Doina Precup · Ofir Nachum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finetuned Language Models are Zero-Shot Learners
In Poster Session 5
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)
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
In Poster Session 5
Wei Ji · Jingjing Li · Qi Bi · chuan guo · Jie Liu · Li Cheng
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
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)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla · Surbhi Singla · Soheil Feizi
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)
Label Encoding for Regression Networks
Deval Shah · Zi Yu Xue · Tor Aamodt
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)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li · Tianhao Wang · Sanjeev Arora
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)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo i Enrich · Youssef Mroueh
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)
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)
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)
Variational methods for simulation-based inference
Manuel Glöckler · Michael Deistler · Jakob Macke
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)
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)
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)
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani · Orhan Firat · Markus Freitag · Ankur Bapna · Maxim Krikun · Xavier Garcia · Ciprian Chelba · Colin Cherry
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) @ Virtual
Learning Towards The Largest Margins
In Poster Session 6
Xiong Zhou · Xianming Liu · Deming Zhai · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
In Poster Session 6
Anh Bui · Trung Le · Quan Tran · He Zhao · Dinh Phung
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Open-World Semi-Supervised Learning
In Poster Session 6
Kaidi Cao · Maria Brbic · Jure Leskovec
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
In Poster Session 6
Qiang Meng · Feng Zhou · Hainan Ren · Tianshu Feng · Guochao Liu · Yuanqing Lin
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Recursive Disentanglement Network
In Poster Session 6
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)
Maximum n-times Coverage for Vaccine Design
In Poster Session 6
Ge Liu · Alexander Dimitrakakis · Brandon Carter · David Gifford
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning Features with Parameter-Free Layers
In Poster Session 6
Dongyoon Han · YoungJoon Yoo · Beomyoung Kim · Byeongho Heo
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Pareto Policy Pool for Model-based Offline Reinforcement Learning
In Poster Session 6
Yijun Yang · Jing Jiang · Tianyi Zhou · Jie Ma · Yuhui Shi
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
In Poster Session 6
Jiawei Huang · Jinglin Chen · Li Zhao · Tao Qin · Nan Jiang · Tie-Yan Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Causal Contextual Bandits with Targeted Interventions
In Poster Session 6
Chandrasekar Subramanian · Balaraman Ravindran
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
In Poster Session 6
Shaopeng Fu · Fengxiang He · Yang Liu · Li Shen · Dacheng Tao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
In Poster Session 6
Ruofan Liang · Hongyi Sun · Nandita Vijaykumar
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
On feature learning in neural networks with global convergence guarantees
In Poster Session 6
Zhengdao Chen · Eric Vanden-Eijnden · Joan Bruna
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Training Transition Policies via Distribution Matching for Complex Tasks
In Poster Session 6
Ju-Seung Byun · Andrew Perrault
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Is Homophily a Necessity for Graph Neural Networks?
In Poster Session 6
Yao Ma · Xiaorui Liu · Neil Shah · Jiliang Tang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Multi-Mode Deep Matrix and Tensor Factorization
In Poster Session 6
Jicong Fan
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
In Poster Session 6
Miao Lu · Xiaolong Luo · Tianlong Chen · Wuyang Chen · Dong Liu · Zhangyang Wang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Disentanglement Analysis with Partial Information Decomposition
In Poster Session 6
Seiya Tokui · Issei Sato
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Differentially Private Fine-tuning of Language Models
In Poster Session 6
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)
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
In Poster Session 6
Tianchen Zhou · Jia Liu · Chaosheng Dong · Yi Sun
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
In Poster Session 6
Ximei Wang · Xinyang Chen · Jianmin Wang · Mingsheng Long
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
In Poster Session 6
Lucio Dery · Paul Michel · Ameet Talwalkar · Graham Neubig
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Multi-objective Optimization by Learning Space Partition
In Poster Session 6
Yiyang Zhao · Linnan Wang · Kevin Yang · Tianjun Zhang · Tian Guo · Yuandong Tian
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
In Poster Session 6
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)
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
In Poster Session 6
Chaoning Zhang · Kang Zhang · Chenshuang Zhang · Trung X. Pham · Chang Yoo · In Kweon
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
In Poster Session 6
Yao Shu · shaofeng cai · Zhongxiang Dai · Beng Chin Ooi · Bryan Kian Hsiang Low
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Backdoor Defense via Decoupling the Training Process
In Poster Session 6
Kunzhe Huang · Yiming Li · Baoyuan Wu · Zhan Qin · Kui Ren
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Skill-based Meta-Reinforcement Learning
In Poster Session 6
Taewook Nam · Shao-Hua Sun · Karl Pertsch · Sung Ju Hwang · Joseph Lim
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
In Poster Session 6
Jiaye Teng · Jianhao Ma · Yang Yuan
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Procedural generalization by planning with self-supervised world models
In Poster Session 6
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)
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
In Poster Session 6
Zirui Wang · Jiahui Yu · Wei Yu · Zihang Dai · Yulia Tsvetkov · Yuan Cao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch
In Poster Session 6
Youzhi Luo · Shuiwang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
In Poster Session 6
Qi Lyu · Xiao Fu · Weiran Wang · Songtao Lu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
In Poster Session 6
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)
Accelerated Policy Learning with Parallel Differentiable Simulation
In Poster Session 6
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)
Neural Structured Prediction for Inductive Node Classification
In Poster Session 6
Meng Qu · Huiyu Cai · Jian Tang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
In Poster Session 6
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)
Knowledge Removal in Sampling-based Bayesian Inference
In Poster Session 6
Shaopeng Fu · Fengxiang He · Dacheng Tao
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
In Poster Session 6
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)
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
In Poster Session 6
Jongjin Park · Younggyo Seo · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
In Poster Session 6
Hyunwook Lee · Seungmin Jin · Hyeshin Chu · Hongkyu Lim · Sungahn Ko
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Understanding the Data Dependency of Mixup-style Training
In Poster Session 6
Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Annotate Part Segmentation with Gradient Matching
In Poster Session 6
Yu Yang · Xiaotian Cheng · Hakan Bilen · Xiangyang Ji
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Dynamics-Aware Comparison of Learned Reward Functions
In Poster Session 6
Blake W Wulfe · Logan Ellis · Jean Mercat · Rowan T McAllister · Adrien Gaidon
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Transformer Embeddings of Irregularly Spaced Events and Their Participants
In Poster Session 6
Hongyuan Mei · Chenghao Yang · Jason Eisner
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
In Poster Session 6
Anne Harrington · Arturo Deza
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Strength of Minibatch Noise in SGD
In Poster Session 6
Liu Ziyin · Kangqiao Liu · Takashi Mori · Masahito Ueda
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
In Poster Session 6
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)
Discovering Invariant Rationales for Graph Neural Networks
In Poster Session 6
Ying-Xin Wu · Xiang Wang · An Zhang · Xiangnan He · Tat-Seng Chua
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Conditional Contrastive Learning with Kernel
In Poster Session 6
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)
Invariant Causal Representation Learning for Out-of-Distribution Generalization
In Poster Session 6
Chaochao Lu · Yuhuai Wu · José Miguel Hernández Lobato · Bernhard Schoelkopf
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Creating Training Sets via Weak Indirect Supervision
In Poster Session 6
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)
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
In Poster Session 6
Ziang Song · Song Mei · Yu Bai
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Complete Code with Sketches
In Poster Session 6
Daya Guo · Alexey Svyatkovskiy · Jian Yin · Nan Duan · Marc Brockschmidt · Miltiadis Allamanis
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning
In Poster Session 6
Hao Huang · Yi Fang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Fixed Neural Network Steganography: Train the images, not the network
In Poster Session 6
Varsha Kishore · Xiangyu Chen · Yan Wang · Boyi Li · Kilian Weinberger
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Optimal Representations for Covariate Shift
In Poster Session 6
Yangjun Ruan · Yann Dubois · Chris Maddison
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Sparse Attention with Learning to Hash
In Poster Session 6
Zhiqing Sun · Yiming Yang · Shinjae Yoo
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
In Poster Session 6
Xuefeng Du · Zhaoning Wang · Mu Cai · Yixuan Li
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
In Poster Session 6
Yaohui Wang · Di Yang · Francois Bremond · Antitza Dantcheva
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
TAPEX: Table Pre-training via Learning a Neural SQL Executor
In Poster Session 6
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) @ Virtual
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
In Poster Session 6
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)
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
In Poster Session 6
Harshavardhan Kamarthi · Alexander Rodríguez · B. Aditya Prakash
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Deep Equilibrium Solvers
In Poster Session 6
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
In Poster Session 6
Zhaowei Zhu · Tianyi Luo · Yang Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
TAda! Temporally-Adaptive Convolutions for Video Understanding
In Poster Session 6
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)
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
In Poster Session 6
Fuchao Wei · Chenglong Bao · Yang Liu
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards General Function Approximation in Zero-Sum Markov Games
In Poster Session 6
Baihe Huang · Jason Lee · Zhaoran Wang · Zhuoran Yang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Equivariant Graph Mechanics Networks with Constraints
In Poster Session 6
Wenbing Huang · Jiaqi Han · Yu Rong · Tingyang Xu · Fuchun Sun · Junzhou Huang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
In Poster Session 6
Sheikh Shams Azam · Seyyedali Hosseinalipour · Qiang Qiu · Christopher Brinton
[ Visit Poster at Spot E3 in Virtual World ] [ Slides]  [ OpenReview] 
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression
In Poster Session 6
Minsik Cho · Keivan Alizadeh-Vahid · Saurabh Adya · Mohammad Rastegari
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
In Poster Session 6
Xiyuan Wang · Muhan Zhang
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Sampling with Mirrored Stein Operators
In Poster Session 6
Jiaxin Shi · Chang Liu · Lester Mackey
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
In Poster Session 6
Jiarui Jin · Sijin Zhou · Weinan Zhang · Tong He · Yong Yu · Rasool Fakoor
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
In Poster Session 6
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
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
In Poster Session 6
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)
Bi-linear Value Networks for Multi-goal Reinforcement Learning
In Poster Session 6
Ge Yang · Zhang-Wei Hong · Pulkit Agrawal
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Stochastic Dual Dynamic Programming
In Poster Session 6
Hanjun Dai · Yuan Xue · Zia Syed · Dale Schuurmans · Bo Dai
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Inductive Relation Prediction Using Analogy Subgraph Embeddings
In Poster Session 6
Jiarui Jin · Yangkun Wang · Kounianhua Du · Weinan Zhang · Zheng Zhang · David Wipf · Yong Yu · Quan Gan
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
In Poster Session 6
Zhenmei Shi · Junyi Wei · Yingyu Liang
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)
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)
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)
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 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)
Towards Understanding the Data Dependency of Mixup-style Training
Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge
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)
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
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)
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
In Poster Session 7
Alexis Bellot · Kim Branson · Mihaela van der Schaar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
In Poster Session 7
Zhaoqi Leng · Mingxing Tan · Chenxi Liu · Ekin Cubuk · Jay Shi · Shuyang Cheng · Dragomir Anguelov
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
In Poster Session 7
Zaccharie Ramzi · Florian Mannel · Shaojie Bai · Jean-Luc Starck · Philippe Ciuciu · Thomas Moreau
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Visual hyperacuity with moving sensor and recurrent neural computations
In Poster Session 7
Alexander Rivkind · Or Ram · Eldad Assa · Michael Kreiserman · Ehud Ahissar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
RotoGrad: Gradient Homogenization in Multitask Learning
In Poster Session 7
Adrián Javaloy · Isabel Valera
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Discrepancy-Based Active Learning for Domain Adaptation
In Poster Session 7
Antoine De mathelin · François Deheeger · Mathilde MOUGEOT · Nicolas Vayatis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Attacking deep networks with surrogate-based adversarial black-box methods is easy
In Poster Session 7
Nicholas A. Lord · Romain Mueller · Luca Bertinetto
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Understanding and Preventing Capacity Loss in Reinforcement Learning
In Poster Session 7
Clare Lyle · Mark Rowland · Will Dabney
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Model Agnostic Interpretability for Multiple Instance Learning
In Poster Session 7
Joseph Early · Christine Evers · Sarvapali Ramchurn
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Implicit Bias of Adversarial Training for Deep Neural Networks
In Poster Session 7
Bochen Lyu · Zhanxing Zhu
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Graphon based Clustering and Testing of Networks: Algorithms and Theory
In Poster Session 7
Mahalakshmi Sabanayagam · Leena Chennuru Vankadara · Debarghya Ghoshdastidar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Discovering Latent Concepts Learned in BERT
In Poster Session 7
Fahim Dalvi · Abdul Khan · Firoj Alam · Nadir Durrani · Jia Xu · Hassan Sajjad
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Conditioning Sequence-to-sequence Networks with Learned Activations
In Poster Session 7
Alberto Gil Couto Pimentel Ramos · Abhinav Mehrotra · Nicholas Lane · Sourav Bhattacharya
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes
In Poster Session 7
Panagiotis Misiakos · Georgios Smyrnis · George Retsinas · Petros Maragos
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
In Poster Session 7
Andrea Cini · Ivan Marisca · Cesare Alippi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Mapping conditional distributions for domain adaptation under generalized target shift
In Poster Session 7
Matthieu Kirchmeyer · alain rakotomamonjy · Emmanuel de Bézenac · patrick gallinari
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness
In Poster Session 7
Sho Okumoto · Taiji Suzuki
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
iFlood: A Stable and Effective Regularizer
In Poster Session 7
Yuexiang Xie · Zhen WANG · Yaliang Li · Ce Zhang · Jingren Zhou · Bolin Ding
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
In Poster Session 7
Wenyong Huang · Zhenhe Zhang · Yu Ting Yeung · Xin Jiang · Qun Liu
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On Distributed Adaptive Optimization with Gradient Compression
In Poster Session 7
Xiaoyun Li · Belhal Karimi · Ping Li
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning transferable motor skills with hierarchical latent mixture policies
In Poster Session 7
Dushyant Rao · Fereshteh Sadeghi · Leonard Hasenclever · Markus Wulfmeier · Martina Zambelli · Giulia Vezzani · Dhruva Tirumala · Yusuf Aytar · Josh Merel · Nicolas Heess · Raia Hadsell
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Multimodal VAEs through Mutual Supervision
In Poster Session 7
Tom Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
In Poster Session 7
Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Normalization of Language Embeddings for Cross-Lingual Alignment
In Poster Session 7
Prince Aboagye · Yan Zheng · Chin-Chia Michael Yeh · Junpeng Wang · Wei Zhang · Liang Wang · Hao Yang · Jeff Phillips
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
In Poster Session 7
Maximilian Böther · Otto Kißig · Martin Taraz · Sarel Cohen · Karen Seidel · Tobias Friedrich
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
CycleMLP: A MLP-like Architecture for Dense Prediction
In Poster Session 7
Shoufa Chen · Enze Xie · Chongjian GE · Runjian Chen · Ding Liang · Ping Luo
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Graph Neural Networks with Learnable Structural and Positional Representations
In Poster Session 7
Vijay Prakash Dwivedi · Anh Tuan Luu · Thomas Laurent · Yoshua Bengio · Xavier Bresson
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Frame Averaging for Invariant and Equivariant Network Design
In Poster Session 7
Omri Puny · Matan Atzmon · Edward Smith · Ishan Misra · Aditya Grover · Heli Ben-Hamu · Yaron Lipman
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
cosFormer: Rethinking Softmax In Attention
In Poster Session 7
Qin Zhen · Weixuan Sun · Hui Deng · DONGXU LI · Yunshen Wei · Baohong Lv · Junjie Yan · Lingpeng Kong · Yiran Zhong
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING
In Poster Session 7
Julian Büchel · Fynn Faber · Dylan R Muir
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
In Poster Session 7
Chenjia Bai · Lingxiao Wang · Zhuoran Yang · Zhihong Deng · Animesh Garg · Peng Liu · Zhaoran Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
How to Train Your MAML to Excel in Few-Shot Classification
In Poster Session 7
Han-Jia Ye · Wei-Lun Chao
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
In Poster Session 7
Liang Peng · Senbo Yan · Boxi Wu · Zheng Yang · Xiaofei He · Deng Cai
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
In Poster Session 7
Rui Yang · Yiming Lu · Wenzhe Li · Hao Sun · Meng Fang · Yali Du · Xiu Li · Lei Han · Chongjie Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks
In Poster Session 7
Arthur da Cunha · Emanuele Natale · Laurent Viennot
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
In Poster Session 7
Bertrand Charpentier · Oliver Borchert · Daniel Zügner · Simon Geisler · Stephan Günnemann
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On-Policy Model Errors in Reinforcement Learning
In Poster Session 7
Lukas Fröhlich · Maksym Lefarov · Melanie Zeilinger · Felix Berkenkamp
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
In Poster Session 7
Chulhee Yun · Shashank Rajput · Suvrit Sra
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
In Poster Session 7
Simon Geisler · Johanna Sommer · Jan Schuchardt · Aleksandar Bojchevski · Stephan Günnemann
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Anomaly Detection for Tabular Data with Internal Contrastive Learning
In Poster Session 7
Tom Shenkar · Lior Wolf
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
In Poster Session 7
Franziska Geiger · Martin Schrimpf · Tiago Marques · James DiCarlo
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
In Poster Session 7
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)
Spike-inspired rank coding for fast and accurate recurrent neural networks
In Poster Session 7
Alan Jeffares · Qinghai Guo · Pontus Stenetorp · Timoleon Moraitis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
On Redundancy and Diversity in Cell-based Neural Architecture Search
In Poster Session 7
Xingchen Wan · Binxin Ru · Pedro Esperança · Zhenguo Li
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
In Poster Session 7
Arunkumar Byravan · Leonard Hasenclever · Piotr Trochim · Mehdi Mirza · Alessandro Ialongo · Yuval Tassa · Jost Tobias Springenberg · Abbas Abdolmaleki · Nicolas Heess · Josh Merel · Martin Riedmiller
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
In Poster Session 7
Robert Csordas · Kazuki Irie · Jürgen Schmidhuber
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Deep Attentive Variational Inference
In Poster Session 7
Ifigeneia Apostolopoulou · Ian Char · Elan Rosenfeld · Artur Dubrawski
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Online Facility Location with Predictions
In Poster Session 7
Shaofeng Jiang · Erzhi Liu · You Lyu · Zhihao Tang · Yubo Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Multi-Task Processes
In Poster Session 7
Donggyun Kim · Seongwoong Cho · Wonkwang Lee · Seunghoon Hong
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
GATSBI: Generative Adversarial Training for Simulation-Based Inference
In Poster Session 7
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
On the Optimal Memorization Power of ReLU Neural Networks
In Poster Session 7
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
FP-DETR: Detection Transformer Advanced by Fully Pre-training
In Poster Session 7
Wen Wang · Yang Cao · Jing Zhang · Dacheng Tao
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
In Poster Session 7
Claudio Ferrari · Mark N Müller · Nikola Jovanović · Martin Vechev
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Generalization Through the Lens of Leave-One-Out Error
In Poster Session 7
Gregor Bachmann · Thomas Hofmann · Aurelien Lucchi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On the Importance of Difficulty Calibration in Membership Inference Attacks
In Poster Session 7
Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Fast Differentiable Matrix Square Root
In Poster Session 7
Yue Song · Nicu Sebe · Wei Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Multi-Agent MDP Homomorphic Networks
In Poster Session 7
Elise van der Pol · Herke van Hoof · Frans Oliehoek · Max Welling
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Case-based reasoning for better generalization in textual reinforcement learning
In Poster Session 7
Mattia Atzeni · Shehzaad Dhuliawala · Keerthiram Murugesan · Mrinmaya Sachan
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Super-Features for Image Retrieval
In Poster Session 7
Philippe Weinzaepfel · Thomas Lucas · Diane Larlus · Yannis Kalantidis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Neural Link Prediction with Walk Pooling
In Poster Session 7
Liming Pan · Cheng Shi · Ivan Dokmanic
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When should agents explore?
In Poster Session 7
Miruna Pîslar · David Szepesvari · Georg Ostrovski · Diana Borsa · Tom Schaul
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On the Limitations of Multimodal VAEs
In Poster Session 7
Imant Daunhawer · Thomas Sutter · Kieran Chin-Cheong · Emanuele Palumbo · Julia E Vogt
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
In Poster Session 7
David Mguni · Taher Jafferjee · Jianhong Wang · Nicolas Perez-Nieves · Oliver Slumbers · Feifei Tong · · Jiangcheng Zhu · Yaodong Yang · Jun Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
In Poster Session 7
Hyunseo Koh · Dahyun Kim · Jung-Woo Ha · Jonghyun Choi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When, Why, and Which Pretrained GANs Are Useful?
In Poster Session 7
Timofey Grigoryev · Andrey Voynov · Artem Babenko
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
NASPY: Automated Extraction of Automated Machine Learning Models
In Poster Session 7
Xiaoxuan Lou · Shangwei Guo · Jiwei Li · Yaoxin Wu · Tianwei Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning a subspace of policies for online adaptation in Reinforcement Learning
In Poster Session 7
Jean-Baptiste Gaya · Laure Soulier · Ludovic Denoyer
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Fair Principal Components via Geodesic Descents
In Poster Session 7
Hieu Vu · Toan Tran · Man-Chung Yue · Viet Anh Nguyen
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
GRAND++: Graph Neural Diffusion with A Source Term
In Poster Session 7
Matthew Thorpe · Tan M Nguyen · Hedi Xia · Thomas Strohmer · Andrea Bertozzi · Stanley J Osher · Bao Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
In Poster Session 7
Zhiyu Chong · Xinzhu Ma · Hong Zhang · Yuxin Yue · Haojie Li · Zhihui Wang · Wanli Ouyang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
A fast and accurate splitting method for optimal transport: analysis and implementation
In Poster Session 7
Vien Mai · Jacob Lindbäck · Mikael Johansson
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification
In Poster Session 7
zhengdong Hu · Yifan Sun · Yi Yang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Causal Discovery
In Poster Session 7
Ruibo Tu · Kun Zhang · Hedvig Kjellström · Cheng Zhang
Spotlight
Wed Apr 27 02:30 AM (PDT)
Spike-inspired rank coding for fast and accurate recurrent neural networks
Alan Jeffares · Qinghai Guo · Pontus Stenetorp · Timoleon Moraitis
Spotlight
Wed Apr 27 02:30 AM (PDT)
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness
Sho Okumoto · Taiji Suzuki
Spotlight
Wed Apr 27 02:30 AM (PDT)
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Bertrand Charpentier · Oliver Borchert · Daniel Zügner · Simon Geisler · Stephan Günnemann
Spotlight
Wed Apr 27 02:30 AM (PDT)
On the Optimal Memorization Power of ReLU Neural Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
Spotlight
Wed Apr 27 02:30 AM (PDT)
NASPY: Automated Extraction of Automated Machine Learning Models
Xiaoxuan Lou · Shangwei Guo · Jiwei Li · Yaoxin Wu · Tianwei Zhang
Spotlight
Wed Apr 27 02:30 AM (PDT)
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle · Mark Rowland · Will Dabney
Spotlight
Wed Apr 27 02:30 AM (PDT)
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy · Isabel Valera
Spotlight
Wed Apr 27 02:30 AM (PDT)
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Chenjia Bai · Lingxiao Wang · Zhuoran Yang · Zhihong Deng · Animesh Garg · Peng Liu · Zhaoran Wang
Spotlight
Wed Apr 27 02:30 AM (PDT)
When should agents explore?
Miruna Pîslar · David Szepesvari · Georg Ostrovski · Diana Borsa · Tom Schaul
Spotlight
Wed Apr 27 02:30 AM (PDT)
Learning transferable motor skills with hierarchical latent mixture policies
Dushyant Rao · Fereshteh Sadeghi · Leonard Hasenclever · Markus Wulfmeier · Martina Zambelli · Giulia Vezzani · Dhruva Tirumala · Yusuf Aytar · Josh Merel · Nicolas Heess · Raia Hadsell
Spotlight
Wed Apr 27 02:30 AM (PDT)
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
Franziska Geiger · Martin Schrimpf · Tiago Marques · James DiCarlo
Spotlight
Wed Apr 27 02:30 AM (PDT)
Learning Multimodal VAEs through Mutual Supervision
Tom Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N
Spotlight
Wed Apr 27 02:30 AM (PDT)
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi · Florian Mannel · Shaojie Bai · Jean-Luc Starck · Philippe Ciuciu · Thomas Moreau
Spotlight
Wed Apr 27 02:30 AM (PDT)
Optimal Transport for Causal Discovery
Ruibo Tu · Kun Zhang · Hedvig Kjellström · Cheng Zhang
Oral
Wed Apr 27 09:00 AM -- 09:15 AM (PDT)
Bootstrapped Meta-Learning
In Oral 3: Meta-learning and adaptation
Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh
Oral
Wed Apr 27 09:00 AM -- 09:15 AM (PDT)
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
In Oral 3: Learning from distribution shift
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Oral
Wed Apr 27 09:15 AM -- 09:30 AM (PDT)
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
In Oral 3: Learning from distribution shift
S Chandra Mouli · Bruno Ribeiro
Oral
Wed Apr 27 09:15 AM -- 09:30 AM (PDT)
Coordination Among Neural Modules Through a Shared Global Workspace
In Oral 3: Meta-learning and adaptation
Anirudh Goyal · Aniket Didolkar · Alex Lamb · Kartikeya Badola · Nan Rosemary Ke · Nasim Rahaman · Jonathan Binas · Charles Blundell · Michael Mozer · Yoshua Bengio
Oral
Wed Apr 27 09:30 AM -- 09:45 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
In Oral 3: Learning from distribution shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil
Oral
Wed Apr 27 09:30 AM -- 09:45 AM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
In Oral 3: Meta-learning and adaptation
Huaxiu Yao · Linjun Zhang · Chelsea Finn
Oral
Wed Apr 27 09:45 AM -- 10:00 AM (PDT)
Sparse Communication via Mixed Distributions
In Oral 3: Learning from distribution shift
António Farinhas · Wilker Aziz · Vlad Niculae · Andre Martins
Oral
Wed Apr 27 09:45 AM -- 10:00 AM (PDT)
Weighted Training for Cross-Task Learning
In Oral 3: Meta-learning and adaptation
Shuxiao Chen · Koby Crammer · Hangfeng He · Dan Roth · Weijie J Su
Oral
Wed Apr 27 10:00 AM -- 10:15 AM (PDT)
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
In Oral 3: Meta-learning and adaptation
Sabri Eyuboglu · Maya Varma · Khaled Saab · Jean-Benoit Delbrouck · Christopher Lee-Messer · Jared Dunnmon · James Y Zou · Christopher Re
Oral
Wed Apr 27 10:00 AM -- 10:15 AM (PDT)
Frame Averaging for Invariant and Equivariant Network Design
In Oral 3: Learning from distribution shift
Omri Puny · Matan Atzmon · Edward Smith · Ishan Misra · Aditya Grover · Heli Ben-Hamu · Yaron Lipman
Oral
Wed Apr 27 10:15 AM -- 10:30 AM (PDT)
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
In Oral 3: Learning from distribution shift
Qing Jin · Jian Ren · Richard Zhuang · Sumant Hanumante · Zhengang Li · Zhiyu Chen · Yanzhi Wang · Kaiyuan Yang · Sergey Tulyakov
Oral
Wed Apr 27 10:15 AM -- 10:30 AM (PDT)
Extending the WILDS Benchmark for Unsupervised Adaptation
In Oral 3: Meta-learning and adaptation
Shiori Sagawa · Pang Wei Koh · Tony Lee · Irena Gao · Sang Michael Xie · Kendrick Shen · Ananya Kumar · Weihua Hu · Michihiro Yasunaga · Henrik Marklund · Sara Beery · Etienne David · Ian Stavness · Wei Guo · Jure Leskovec · Kate Saenko · Tatsunori Hashimoto · Sergey Levine · Chelsea Finn · Percy Liang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
In Poster Session 8
Yifei Wang · Jonathan Lacotte · Mert Pilanci
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Efficiency Misnomer
In Poster Session 8
Mostafa Dehghani · Yi Tay · Anurag Arnab · Lucas Beyer · Ashish Vaswani
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Consistent Counterfactuals for Deep Models
In Poster Session 8
Emily Black · Zifan Wang · Matt Fredrikson
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
In Poster Session 8
Divyansh Pareek · Andrej Risteski
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
FILIP: Fine-grained Interactive Language-Image Pre-Training
In Poster Session 8
Lewei Yao · Runhui Huang · LU HOU · Guansong Lu · Minzhe Niu · Hang Xu · Xiaodan Liang · Zhenguo Li · Xin Jiang · Chunjing Xu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Missingness Bias in Model Debugging
In Poster Session 8
Saachi Jain · Hadi Salman · Eric Wong · Pengchuan Zhang · Vibhav Vineet · Sai Vemprala · Aleksander Madry
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
In Poster Session 8
Vincent Mai · Kaustubh Mani · Liam Paull
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
In Poster Session 8
Frederic Koehler · Viraj Mehta · Chenghui Zhou · Andrej Risteski
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
In Poster Session 8
Wenhao Gao · Rocío Mercado · Connor Coley
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Phenomenology of Double Descent in Finite-Width Neural Networks
In Poster Session 8
Sidak Pal Singh · Aurelien Lucchi · Thomas Hofmann · Bernhard Schoelkopf
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
In Poster Session 8
Chengping Rao · Pu Ren · Yang Liu · Hao Sun
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Distributionally Robust Models at Scale via Composite Optimization
In Poster Session 8
Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Amin Karbasi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Generalized rectifier wavelet covariance models for texture synthesis
In Poster Session 8
Antoine Brochard · Sixin Zhang · Stéphane Mallat
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
In Poster Session 8
Dhruv Shah · Peng Xu · Yao Lu · Ted Xiao · Alexander Toshev · Sergey Levine · brian ichter
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Practical Conditional Neural Process Via Tractable Dependent Predictions
In Poster Session 8
Stratis Markou · James Requeima · Wessel Bruinsma · Anna Vaughan · Richard E Turner
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Offline Reinforcement Learning with Value-based Episodic Memory
In Poster Session 8
Xiaoteng Ma · Yiqin Yang · Hao Hu · Jun Yang · Chongjie Zhang · Qianchuan Zhao · Bin Liang · Qihan Liu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Space-Time Graph Neural Networks
In Poster Session 8
Samar Hadou · Charilaos Kanatsoulis · Alejandro Ribeiro
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
In Poster Session 8
Cassidy Laidlaw · Anca Dragan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CoMPS: Continual Meta Policy Search
In Poster Session 8
Glen Berseth · Zhiwei Zhang · Grace Zhang · Chelsea Finn · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
In Poster Session 8
Ziniu Li · Yingru Li · Yushun Zhang · Tong Zhang · Zhi-Quan Luo
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
A Comparison of Hamming Errors of Representative Variable Selection Methods
In Poster Session 8
Tracy Ke · Longlin Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates
In Poster Session 8
Safa Alver · Doina Precup
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Long Expressive Memory for Sequence Modeling
In Poster Session 8
T. Konstantin Rusch · Siddhartha Mishra · N. Benjamin Erichson · Michael W Mahoney
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Label Leakage and Protection in Two-party Split Learning
In Poster Session 8
Oscar Li · Jiankai Sun · Xin Yang · Weihao Gao · Hongyi Zhang · Junyuan Xie · Virginia Smith · Chong Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
In Poster Session 8
David Berthelot · Rebecca Roelofs · Kihyuk Sohn · Nicholas Carlini · Alexey Kurakin
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
In Poster Session 8
Satya Narayan Shukla · Benjamin M Marlin
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
In Poster Session 8
Yandong Wen · Weiyang Liu · Adrian Weller · Bhiksha Raj · Rita Singh
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
In Poster Session 8
Michael Wan · Jian Peng · Tanmay Gangwani
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Linking Emergent and Natural Languages via Corpus Transfer
In Poster Session 8
Shunyu Yao · Mo Yu · Yang Zhang · Karthik Narasimhan · Joshua B Tenenbaum · Chuang Gan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Information Geometry of Unsupervised Reinforcement Learning
In Poster Session 8
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Knowledge Infused Decoding
In Poster Session 8
Ruibo Liu · Guoqing Zheng · Shashank Gupta · Radhika Gaonkar · CHONGYANG GAO · Soroush Vosoughi · Milad Shokouhi · Ahmed H Awadallah
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
In Poster Session 8
Guodong Zhang · Aleksandar Botev · James Martens
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization
In Poster Session 8
Ronghang Zhu · Sheng Li
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning to Dequantise with Truncated Flows
In Poster Session 8
Shawn Tan · Chin-Wei Huang · Alessandro Sordoni · Aaron Courville
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
In Poster Session 8
John Guibas · Morteza Mardani · Zongyi Li · Andrew Tao · Anima Anandkumar · Bryan Catanzaro
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Pseudo Numerical Methods for Diffusion Models on Manifolds
In Poster Session 8
Luping Liu · Yi Ren · Zhijie Lin · Zhou Zhao
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Orchestrated Value Mapping for Reinforcement Learning
In Poster Session 8
Mehdi Fatemi · Arash Tavakoli
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
In Poster Session 8
Arash Mehrjou · Ashkan Soleymani · Andrew Jesson · Pascal Notin · Yarin Gal · Stefan Bauer · Patrick Schwab
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
In Poster Session 8
Kaidi Cao · Jiaxuan You · Jure Leskovec
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
In Poster Session 8
Jiquan Ngiam · Vijay Vasudevan · Benjamin Caine · Zhengdong Zhang · Hao-Tien (Lewis) Chiang · Jeffrey Ling · Rebecca Roelofs · Alex Bewley · Chenxi Liu · Ashish Venugopal · David Weiss · Ben Sapp · Zhifeng Chen · Jonathon Shlens
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
In Poster Session 8
Jinxin Liu · Hongyin Zhang · Donglin Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
In Poster Session 8
Mingyue Tang · Pan Li · Carl Yang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
In Poster Session 8
Weiqi Peng · Jinghui Chen
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Gaussian Mixture Convolution Networks
In Poster Session 8
Adam Celarek · Pedro Hermosilla Casajus · Bernhard Kerbl · Timo Ropinski · Michael Wimmer
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Image BERT Pre-training with Online Tokenizer
In Poster Session 8
Jinghao Zhou · Chen Wei · Huiyu Wang · Wei Shen · Cihang Xie · Alan Yuille · Tao Kong
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Better Supervisory Signals by Observing Learning Paths
In Poster Session 8
YI REN · Shangmin Guo · Danica J Sutherland
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning State Representations via Retracing in Reinforcement Learning
In Poster Session 8
Changmin Yu · Dong Li · Jianye HAO · Jun Wang · Neil Burgess
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Auto-scaling Vision Transformers without Training
In Poster Session 8
Wuyang Chen · Wei Huang · Xianzhi Du · Xiaodan Song · Zhangyang Wang · Dengyong Zhou
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
In Poster Session 8
Tao Yang · Xuanchi Ren · Yuwang Wang · Wenjun Zeng · Nanning Zheng
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Prototype-oriented Set Representations for Meta-Learning
In Poster Session 8
Dandan Guo · Long Tian · Minghe Zhang · Mingyuan Zhou · Hongyuan Zha
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity
In Poster Session 8
Lu Mi · Richard Xu · Sridhama Prakhya · Albert Lin · Nir Shavit · Aravinthan Samuel · Srinivas C Turaga
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
In Poster Session 8
Haichao Zhang · Wei Xu · Haonan Yu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
In Poster Session 8
Carl Hvarfner · Danny Stoll · Artur Souza · Marius Lindauer · Frank Hutter · Luigi Nardi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
No One Representation to Rule Them All: Overlapping Features of Training Methods
In Poster Session 8
Raphael Gontijo Lopes · Yann Dauphin · Ekin Cubuk
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the Importance of Firth Bias Reduction in Few-Shot Classification
In Poster Session 8
Saba Ghaffari · Ehsan Saleh · David Forsyth · Yu-Xiong Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Memorizing Transformers
In Poster Session 8
Yuhuai Wu · Markus Rabe · DeLesley Hutchins · Christian Szegedy
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the role of population heterogeneity in emergent communication
In Poster Session 8
Mathieu Rita · Florian Strub · Jean-Bastien Grill · Olivier Pietquin · Emmanuel Dupoux
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Plant 'n' Seek: Can You Find the Winning Ticket?
In Poster Session 8
Jonas Fischer · Rebekka Burkholz
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Assessing Generalization of SGD via Disagreement
In Poster Session 8
Yiding Jiang · Vaishnavh Nagarajan · Christina Baek · Zico Kolter
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Churn Reduction via Distillation
In Poster Session 8
Heinrich Jiang · Harikrishna Narasimhan · Dara Bahri · Andrew Cotter · Afshin Rostamizadeh
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Memory Augmented Optimizers for Deep Learning
In Poster Session 8
Paul-Aymeric McRae · Prasanna Parthasarathi · Mido Assran · Sarath Chandar
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On Improving Adversarial Transferability of Vision Transformers
In Poster Session 8
Muzammal Naseer · Kanchana Ranasinghe · Salman Khan · Fahad Khan · Fatih Porikli
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
In Poster Session 8
Prashant Khanduri · Haibo Yang · Mingyi Hong · Jia Liu · Hoi To Wai · Sijia Liu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
On the Certified Robustness for Ensemble Models and Beyond
In Poster Session 8
Zhuolin Yang · Linyi Li · Xiaojun Xu · Bhavya Kailkhura · Tao Xie · Bo Li
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
In Poster Session 8
Martin Mundt · Steven Lang · Quentin Delfosse · Kristian Kersting
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
In Poster Session 8
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Information Prioritization through Empowerment in Visual Model-based RL
In Poster Session 8
Homanga Bharadhwaj · Mohammad Babaeizadeh · Dumitru Erhan · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
PAC-Bayes Information Bottleneck
In Poster Session 8
Zifeng Wang · Shao-Lun Huang · Ercan Kuruoglu · Jimeng Sun · Xi Chen · Yefeng Zheng
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
In Poster Session 8
Sizhe Li · Zhiao Huang · Tao Du · Hao Su · Joshua B Tenenbaum · Chuang Gan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Cross-Domain Imitation Learning via Optimal Transport
In Poster Session 8
Arnaud Fickinger · samuel cohen · Stuart Russell · Brandon Amos
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
In Poster Session 8
Yangguang Li · Feng Liang · Lichen Zhao · Yufeng Cui · Wanli Ouyang · Jing Shao · fengwei yu · Junjie Yan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Value Gradient weighted Model-Based Reinforcement Learning
In Poster Session 8
Claas Voelcker · Victor Liao · Animesh Garg · Amir-massoud Farahmand
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Bayesian Framework for Gradient Leakage
In Poster Session 8
Mislav Balunovic · Dimitar I. Dimitrov · Robin Staab · Martin Vechev
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
In Poster Session 8
Lixu Wang · Shichao Xu · Ruiqi Xu · Xiao Wang · Qi Zhu
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
In Poster Session 8
Kartik Goyal · Chris Dyer · Taylor Berg-Kirkpatrick
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Fortuitous Forgetting in Connectionist Networks
In Poster Session 8
Hattie Zhou · Ankit Vani · Hugo Larochelle · Aaron Courville
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Understanding over-squashing and bottlenecks on graphs via curvature
In Poster Session 8
Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Data Poisoning Won’t Save You From Facial Recognition
In Poster Session 8
Evani Radiya-Dixit · Sanghyun Hong · Nicholas Carlini · Florian Tramer
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
In Poster Session 8
Hongyan Bao · Yufei Han · Yujun Zhou · Yun Shen · Xiangliang Zhang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
How Attentive are Graph Attention Networks?
In Poster Session 8
Shaked Brody · Uri Alon · Eran Yahav
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
RvS: What is Essential for Offline RL via Supervised Learning?
In Poster Session 8
Scott Emmons · Benjamin Eysenbach · Ilya Kostrikov · Sergey Levine
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Poisoning and Backdooring Contrastive Learning
In Poster Session 8
Nicholas Carlini · Andreas Terzis
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
In Poster Session 8
Yonathan Efroni · Dipendra Kumar Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Neural Methods for Logical Reasoning over Knowledge Graphs
In Poster Session 8
Alfonso Amayuelas · Shuai Zhang · Xi Rao · Ce Zhang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
In Poster Session 8
Vaisakh Shaj · Dieter Büchler · Rohit Sonker · Philipp Becker · Gerhard Neumann
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
In Poster Session 8
Da Xu · Yuting Ye · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Step-unrolled Denoising Autoencoders for Text Generation
In Poster Session 8
Nikolay Savinov · Junyoung Chung · Mikolaj Binkowski · Erich Elsen · Aaron v den
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning
In Poster Session 8
Matthias Gerstgrasser · Rakshit Trivedi · David Parkes
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Topologically Regularized Data Embeddings
In Poster Session 8
Robin Vandaele · Bo Kang · Jefrey Lijffijt · Tijl De Bie · Yvan Saeys
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Diverse Client Selection for Federated Learning via Submodular Maximization
In Poster Session 8
Ravikumar Balakrishnan · Tian Li · Tianyi Zhou · Nageen Himayat · Virginia Smith · Jeff Bilmes
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Capturing Structural Locality in Non-parametric Language Models
In Poster Session 8
Frank F Xu · Junxian He · Graham Neubig · Vincent Hellendoorn
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
In Poster Session 8
Yikun Ban · Yuchen Yan · Arindam Banerjee · Jingrui He
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
In Poster Session 8
Matan Haroush · Tzviel Frostig · Ruth Heller · Daniel Soudry
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Task-Induced Representation Learning
In Poster Session 8
Jun Yamada · Karl Pertsch · Anisha Gunjal · Joseph Lim
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
In Poster Session 8
Yuqing Wang · Minshuo Chen · Tuo Zhao · Molei Tao
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
In Poster Session 8
Ginger Delmas · Rafael S Rezende · Gabriela Csurka · Diane Larlus
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
In Poster Session 8
Daniel Watson · William Chan · Jonathan Ho · Mohammad Norouzi
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Comparing Distributions by Measuring Differences that Affect Decision Making
In Poster Session 8
Shengjia Zhao · Abhishek Sinha · Yutong He · Aidan Perreault · Jiaming Song · Stefano Ermon
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Adversarial Unlearning of Backdoors via Implicit Hypergradient
In Poster Session 8
Yi Zeng · Si Chen · Won Park · Zhuoqing Mao · Ming Jin · Ruoxi Jia
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
In Poster Session 8
Ruixiang Zhang · Shuangfei Zhai · Etai Littwin · Joshua Susskind
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Differentiable DAG Sampling
In Poster Session 8
Bertrand Charpentier · Simon Kibler · Stephan Günnemann
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
In Poster Session 8
Xinran Liang · Katherine Shu · Kimin Lee · Pieter Abbeel
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
In Poster Session 8
Xueyuan She · Saurabh Dash · Saibal Mukhopadhyay
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Graph-Relational Domain Adaptation
In Poster Session 8
Zihao Xu · Hao He · Guang-He Lee · Bernie Wang · Hao Wang
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Distribution Compression in Near-Linear Time
In Poster Session 8
Abhishek Shetty · Raaz Dwivedi · Lester Mackey
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
DIVA: Dataset Derivative of a Learning Task
In Poster Session 8
Yonatan Dukler · Alessandro Achille · Giovanni Paolini · Avinash Ravichandran · Marzia Polito · Stefano Soatto
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
In Poster Session 8
Masatoshi Uehara · Wen Sun
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
In Poster Session 8
Jiehui Xu · haixu wu · Jianmin Wang · Mingsheng Long
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
In Poster Session 8
Paris Giampouras · Benjamin Haeffele · Rene Vidal
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
In Poster Session 8
Vamsi Aribandi · Yi Tay · Tal Schuster · Jinfeng Rao · Huaixiu Steven Zheng · Sanket Vaibhav Mehta · Honglei Zhuang · Vinh Tran · Dara Bahri · Jianmo Ni · Jai Gupta · Kai Hui · Sebastian Ruder · Donald Metzler
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT) @ Virtual
Multimeasurement Generative Models
In Poster Session 8
Saeed Saremi · Rupesh K Srivastava
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Fast Regression for Structured Inputs
In Poster Session 8
Raphael Meyer · Cameron Musco · Christopher Musco · David Woodruff · Samson Zhou
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
In Poster Session 8
Benjamin Bowman · Guido Montufar
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Transformer-based Transform Coding
In Poster Session 8
Yinhao Zhu · Yang Yang · Taco Cohen
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
Understanding and Leveraging Overparameterization in Recursive Value Estimation
In Poster Session 8
Chenjun Xiao · Bo Dai · Jincheng Mei · Oscar Ramirez · Ramki Gummadi · Chris Harris · Dale Schuurmans
Poster
Wed Apr 27 10:30 AM -- 12:30 PM (PDT)
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
In Poster Session 8
Yifei Wang · Mert Pilanci
Spotlight
Wed Apr 27 10:30 AM (PDT)
PAC-Bayes Information Bottleneck
Zifeng Wang · Shao-Lun Huang · Ercan Kuruoglu · Jimeng Sun · Xi Chen · Yefeng Zheng
Spotlight
Wed Apr 27 10:30 AM (PDT)
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari · Ehsan Saleh · David Forsyth · Yu-Xiong Wang
Spotlight
Wed Apr 27 10:30 AM (PDT)
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban · Yuchen Yan · Arindam Banerjee · Jingrui He
Spotlight
Wed Apr 27 10:30 AM (PDT)
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Sizhe Li · Zhiao Huang · Tao Du · Hao Su · Joshua B Tenenbaum · Chuang Gan
Spotlight
Wed Apr 27 10:30 AM (PDT)
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
Paris Giampouras · Benjamin Haeffele · Rene Vidal
Spotlight
Wed Apr 27 10:30 AM (PDT)
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
Kaidi Cao · Jiaxuan You · Jure Leskovec
Spotlight
Wed Apr 27 10:30 AM (PDT)
Assessing Generalization of SGD via Disagreement
Yiding Jiang · Vaishnavh Nagarajan · Christina Baek · Zico Kolter
Spotlight
Wed Apr 27 10:30 AM (PDT)
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer · Kanchana Ranasinghe · Salman Khan · Fahad Khan · Fatih Porikli
Spotlight
Wed Apr 27 10:30 AM (PDT)
Value Gradient weighted Model-Based Reinforcement Learning
Claas Voelcker · Victor Liao · Animesh Garg · Amir-massoud Farahmand
Spotlight
Wed Apr 27 10:30 AM (PDT)
Memorizing Transformers
Yuhuai Wu · Markus Rabe · DeLesley Hutchins · Christian Szegedy
Spotlight
Wed Apr 27 10:30 AM (PDT)
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Haichao Zhang · Wei Xu · Haonan Yu
Spotlight
Wed Apr 27 10:30 AM (PDT)
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu · haixu wu · Jianmin Wang · Mingsheng Long
Spotlight
Wed Apr 27 10:30 AM (PDT)
Churn Reduction via Distillation
Heinrich Jiang · Harikrishna Narasimhan · Dara Bahri · Andrew Cotter · Afshin Rostamizadeh
Spotlight
Wed Apr 27 10:30 AM (PDT)
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
Wenhao Gao · Rocío Mercado · Connor Coley
Spotlight
Wed Apr 27 10:30 AM (PDT)
Linking Emergent and Natural Languages via Corpus Transfer
Shunyu Yao · Mo Yu · Yang Zhang · Karthik Narasimhan · Joshua B Tenenbaum · Chuang Gan
Spotlight
Wed Apr 27 10:30 AM (PDT)
Long Expressive Memory for Sequence Modeling
T. Konstantin Rusch · Siddhartha Mishra · N. Benjamin Erichson · Michael W Mahoney
Spotlight
Wed Apr 27 10:30 AM (PDT)
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen · Weiyang Liu · Adrian Weller · Bhiksha Raj · Rita Singh
Spotlight
Wed Apr 27 10:30 AM (PDT)
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
Vincent Mai · Kaustubh Mani · Liam Paull
Spotlight
Wed Apr 27 10:30 AM (PDT)
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
Invited Talk
Wed Apr 27 05:00 PM -- 06:15 PM (PDT)
Accelerating AI Systems: Let the Data Flow!
Kunle Olukotun
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
BEiT: BERT Pre-Training of Image Transformers
In Poster Session 9
Hangbo Bao · Li Dong · Songhao Piao · Furu Wei
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Neural Networks as Kernel Learners: The Silent Alignment Effect
In Poster Session 9
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
On the Convergence of Certified Robust Training with Interval Bound Propagation
In Poster Session 9
Yihan Wang · Zhouxing Shi · Quanquan Gu · Cho-Jui Hsieh
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty
In Poster Session 9
Jeff Willette · Hae Beom Lee · Juho Lee · Sung Ju Hwang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation
In Poster Session 9
Colin Wei · Zico Kolter
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
In Poster Session 9
Oliver Bryniarski · Nabeel Hingun · Pedro Pachuca · Vincent Wang · Nicholas Carlini
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
In Poster Session 9
Alexander Pan · Kush Bhatia · Jacob Steinhardt
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Context-Aware Sparse Deep Coordination Graphs
In Poster Session 9
Tonghan Wang · Liang Zeng · Weijun Dong · Qianlan Yang · Yang Yu · Chongjie Zhang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
EViT: Expediting Vision Transformers via Token Reorganizations
In Poster Session 9
Youwei Liang · Chongjian GE · Zhan Tong · Yibing Song · Jue Wang · Pengtao Xie
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
In Poster Session 9
Jiaheng Wei · Zhaowei Zhu · Hao Cheng · Tongliang Liu · Gang Niu · Yang Liu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
Online Hyperparameter Meta-Learning with Hypergradient Distillation
In Poster Session 9
Hae Beom Lee · Hayeon Lee · JaeWoong Shin · Eunho Yang · Timothy Hospedales · Sung Ju Hwang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
In Poster Session 9
Michiel de Jong · Yury Zemlyanskiy · Nicholas FitzGerald · Fei Sha · William Cohen
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies
In Poster Session 9
Tsz Him Cheung · Dit-Yan Yeung
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
In Poster Session 9
Cheng Wan · Youjie Li · Cameron Wolfe · Anastasios Kyrillidis · Nam Sung Kim · Yingyan Lin
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
In Poster Session 9
Rui Pan · Haishan Ye · Tong Zhang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Zero-Shot Self-Supervised Learning for MRI Reconstruction
In Poster Session 9
Burhaneddin Yaman · Seyed Amir Hossein Hosseini · Mehmet Akcakaya
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Declarative nets that are equilibrium models
In Poster Session 9
Russell Tsuchida · Suk Yee Yong · Mohammad Ali Armin · Lars Petersson · Cheng Soon Ong
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Benchmarking the Spectrum of Agent Capabilities
In Poster Session 9
Danijar Hafner
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
In Poster Session 9
Pengzhou Wu · Kenji Fukumizu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Neural Solvers for Fast and Accurate Numerical Optimal Control
In Poster Session 9
Federico Berto · Stefano Massaroli · Michael Poli · Jinkyoo Park
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Gradient Information Matters in Policy Optimization by Back-propagating through Model
In Poster Session 9
Chongchong Li · Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
In Poster Session 9
Xiuying Wei · Ruihao Gong · Yuhang Li · Xianglong Liu · fengwei yu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
How Low Can We Go: Trading Memory for Error in Low-Precision Training
In Poster Session 9
Chengrun Yang · Ziyang Wu · Jerry Chee · Christopher De Sa · Madeleine Udell
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
Bridging Recommendation and Marketing via Recurrent Intensity Modeling
In Poster Session 9
Yifei Ma · Ge Liu · Anoop Deoras
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
In Poster Session 9
Qing Jin · Jian Ren · Richard Zhuang · Sumant Hanumante · Zhengang Li · Zhiyu Chen · Yanzhi Wang · Kaiyuan Yang · Sergey Tulyakov
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
In Poster Session 9
Edward Hu · Kun Huang · Oleh Rybkin · Dinesh Jayaraman
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
In Poster Session 9
Qilong Zhang · Xiaodan Li · YueFeng Chen · Jingkuan Song · Lianli Gao · Yuan He · Hui Xue'
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Generalizing Few-Shot NAS with Gradient Matching
In Poster Session 9
Shoukang Hu · Ruochen Wang · Lanqing HONG · Zhenguo Li · Cho-Jui Hsieh · Jiashi Feng
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Learning Weakly-supervised Contrastive Representations
In Poster Session 9
Yao-Hung Hubert Tsai · Tianqin Li · Weixin Liu · Peiyuan Liao · Ruslan Salakhutdinov · Louis-Philippe Morency
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
In Poster Session 9
Wentao Zhang · Yexin Wang · Zhenbang You · Meng Cao · Ping Huang · Jiulong Shan · Zhi Yang · Bin CUI
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
In Poster Session 9
Quanyi Li · Zhenghao Peng · Bolei Zhou
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
In Poster Session 9
Xiaojian Ma · Weili Nie · Zhiding Yu · Huaizu Jiang · Chaowei Xiao · Yuke Zhu · Song-Chun Zhu · Anima Anandkumar
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
In Poster Session 9
Wenqing Zheng · Edward Huang · Nikhil Rao · Sumeet Katariya · Zhangyang Wang · Karthik Subbian
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Convergent and Efficient Deep Q Learning Algorithm
In Poster Session 9
Zhikang T Wang · Masahito Ueda
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Large Language Models Can Be Strong Differentially Private Learners
In Poster Session 9
Xuechen Li · Florian Tramer · Percy Liang · Tatsunori Hashimoto
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
SGD Can Converge to Local Maxima
In Poster Session 9
Liu Ziyin · Botao Li · James Simon · Masahito Ueda
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Meta-Imitation Learning by Watching Video Demonstrations
In Poster Session 9
Jiayi Li · Tao Lu · Xiaoge Cao · Yinghao Cai · Shuo Wang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
In Poster Session 9
Chun-Hao Chang · Rich Caruana · Anna Goldenberg
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
In Poster Session 9
Yang Zhao · Hao Zhang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Pre-training Molecular Graph Representation with 3D Geometry
In Poster Session 9
Shengchao Liu · Hanchen Wang · Weiyang Liu · Joan Lasenby · Hongyu Guo · Jian Tang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
In Poster Session 9
Yi Tay · Mostafa Dehghani · Jinfeng Rao · William Fedus · Samira Abnar · Hyung Won Chung · SHARAN NARANG · Dani Yogatama · Ashish Vaswani · Donald Metzler
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
In Poster Session 9
Natalie Dullerud · Karsten Roth · Kimia Hamidieh · Nicolas Papernot · Marzyeh Ghassemi
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
In Poster Session 9
Kazusato Oko · Taiji Suzuki · Atsushi Nitanda · Denny Wu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring
In Poster Session 9
Seungjun Nah · Sanghyun Son · Jaerin Lee · Kyoung Mu Lee
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Half-Inverse Gradients for Physical Deep Learning
In Poster Session 9
Patrick Schnell · Philipp Holl · Nils Thuerey
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
In Poster Session 9
Che Wang · Shuhan Yuan · Kai Shao · Keith Ross
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Symbolic Learning to Optimize: Towards Interpretability and Scalability
In Poster Session 9
Wenqing Zheng · Tianlong Chen · Ting-Kuei Hu · Zhangyang Wang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Convergent Graph Solvers
In Poster Session 9
Junyoung Park · Jinhyun Choo · Jinkyoo Park
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Exploring extreme parameter compression for pre-trained language models
In Poster Session 9
Wang Benyou · Yuxin Ren · Lifeng Shang · Xin Jiang · Qun Liu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Concurrent Adversarial Learning for Large-Batch Training
In Poster Session 9
LIU YONG · Xiangning Chen · Minhao Cheng · Cho-Jui Hsieh · Yang You
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
In Poster Session 9
Ning Yu · Vladislav Skripniuk · Dingfan Chen · Larry Davis · Mario Fritz
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis
In Poster Session 9
Minhao LIU · Ailing Zeng · Qiuxia LAI · Ruiyuan Gao · Min Li · Jing Qin · Qiang Xu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
In Poster Session 9
Eli Chien · Wei-Cheng Chang · Cho-Jui Hsieh · Hsiang-Fu Yu · Jiong Zhang · Olgica Milenkovic · Inderjit Dhillon
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
In Poster Session 9
Can Wang · Sheng Jin · Yingda Guan · Wentao Liu · Chen Qian · Ping Luo · Wanli Ouyang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
In Poster Session 9
X.Y. Han · Vardan Papyan · David Donoho
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
In Poster Session 9
Jiawei Du · Hanshu Yan · Jiashi Feng · Joey T Zhou · Liangli Zhen · Rick Goh · Vincent Tan
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Tracking the risk of a deployed model and detecting harmful distribution shifts
In Poster Session 9
Aleksandr Podkopaev · Aaditya Ramdas
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization
In Poster Session 9
SunWoo Lee · Jeongwoo Park · Dongsuk Jeon
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Path Auxiliary Proposal for MCMC in Discrete Space
In Poster Session 9
Haoran Sun · Hanjun Dai · Wei Xia · Arun Ramamurthy
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
A Theory of Tournament Representations
In Poster Session 9
Arun Rajkumar · Vishnu Veerathu · Abdul Mir
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Learned Simulators for Turbulence
In Poster Session 9
Kimberly Stachenfeld · Drummond Fielding · Dmitrii Kochkov · Miles Cranmer · Tobias Pfaff · Jonathan Godwin · Can Cui · Shirley Ho · Peter Battaglia · Alvaro Sanchez Gonzalez
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
In Poster Session 9
Tongkun Xu · Weihua Chen · Pichao WANG · Fan Wang · Li Hao · Rong Jin
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Learning Continuous Environment Fields via Implicit Functions
In Poster Session 9
Xueting Li · Sifei Liu · Shalini De Mello · Xiaolong Wang · Ming-Hsuan Yang · Jan Kautz
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation
In Poster Session 9
Xuan-Phi Nguyen · Hongyu Gong · Yun Tang · Changhan Wang · Philipp Koehn · Shafiq Joty
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Stein Latent Optimization for Generative Adversarial Networks
In Poster Session 9
Uiwon Hwang · Heeseung Kim · Dahuin Jung · Hyemi Jang · Hyungyu Lee · Sungroh Yoon
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
In Poster Session 9
Zhiyuan Zhang · Lingjuan Lyu · Weiqiang Wang · Lichao Sun · Xu Sun
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Learning Versatile Neural Architectures by Propagating Network Codes
In Poster Session 9
Mingyu Ding · Yuqi Huo · Haoyu Lu · Linjie Yang · Zhe Wang · Zhiwu Lu · Jingdong Wang · Ping Luo
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
In Poster Session 9
Yi Tay · Vinh Tran · Sebastian Ruder · Jai Gupta · Hyung Won Chung · Dara Bahri · Zhen Qin · Simon Baumgartner · Cong Yu · Donald Metzler
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
In Poster Session 9
Wei Fan · Shun Zheng · Xiaohan Yi · Wei Cao · Yanjie Fu · Jiang Bian · Tie-Yan Liu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
In Poster Session 9
Tianjun Zhang · Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine · Joseph E Gonzalez
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
In Poster Session 9
Yonggan Fu · Shunyao Zhang · Shang Wu · Cheng Wan · Yingyan Lin
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
In Poster Session 9
Wensi Tang · Guodong Long · Lu Liu · Tianyi Zhou · Michael Blumenstein · Jing Jiang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT) @ Virtual
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
In Poster Session 9
Yimeng Zhang · Yuguang Yao · Jinghan Jia · Jinfeng Yi · Mingyi Hong · Shiyu Chang · Sijia Liu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Optimization inspired Multi-Branch Equilibrium Models
In Poster Session 9
Mingjie Li · Yisen Wang · Xingyu Xie · Zhouchen Lin
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL
In Poster Session 9
Wei Lu
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Pretrained Language Model in Continual Learning: A Comparative Study
In Poster Session 9
Tongtong Wu · Massimo Caccia · Zhuang Li · Yuan-Fang Li · Guilin Qi · Gholamreza Haffari
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
TRGP: Trust Region Gradient Projection for Continual Learning
In Poster Session 9
Sen Lin · Li Yang · Deliang Fan · Junshan Zhang
Poster
Wed Apr 27 06:30 PM -- 08:30 PM (PDT)
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
In Poster Session 9
Yooju Shin · Susik Yoon · Sundong Kim · Hwanjun Song · Jae-Gil Lee · Byung Suk Lee
Spotlight
Wed Apr 27 06:30 PM (PDT)
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Hae Beom Lee · Hayeon Lee · JaeWoong Shin · Eunho Yang · Timothy Hospedales · Sung Ju Hwang
Spotlight
Wed Apr 27 06:30 PM (PDT)
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Chun-Hao Chang · Rich Caruana · Anna Goldenberg
Spotlight
Wed Apr 27 06:30 PM (PDT)
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin · Li Yang · Deliang Fan · Junshan Zhang
Spotlight
Wed Apr 27 06:30 PM (PDT)
Path Auxiliary Proposal for MCMC in Discrete Space
Haoran Sun · Hanjun Dai · Wei Xia · Arun Ramamurthy
Spotlight
Wed Apr 27 06:30 PM (PDT)
Context-Aware Sparse Deep Coordination Graphs
Tonghan Wang · Liang Zeng · Weijun Dong · Qianlan Yang · Yang Yu · Chongjie Zhang
Spotlight
Wed Apr 27 06:30 PM (PDT)
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu · Vladislav Skripniuk · Dingfan Chen · Larry Davis · Mario Fritz
Spotlight
Wed Apr 27 06:30 PM (PDT)
SGD Can Converge to Local Maxima
Liu Ziyin · Botao Li · James Simon · Masahito Ueda
Spotlight
Wed Apr 27 06:30 PM (PDT)
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang · Yuguang Yao · Jinghan Jia · Jinfeng Yi · Mingyi Hong · Shiyu Chang · Sijia Liu
Spotlight
Wed Apr 27 06:30 PM (PDT)
EViT: Expediting Vision Transformers via Token Reorganizations
Youwei Liang · Chongjian GE · Zhan Tong · Yibing Song · Jue Wang · Pengtao Xie
Spotlight
Wed Apr 27 06:30 PM (PDT)
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
Wei Fan · Shun Zheng · Xiaohan Yi · Wei Cao · Yanjie Fu · Jiang Bian · Tie-Yan Liu
Spotlight
Wed Apr 27 06:30 PM (PDT)
Half-Inverse Gradients for Physical Deep Learning
Patrick Schnell · Philipp Holl · Nils Thuerey
Oral
Thu Apr 28 01:00 AM -- 01:15 AM (PDT)
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
In Oral 4: Sequence modeling
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov · Jiansheng Wei
Oral
Thu Apr 28 01:00 AM -- 01:15 AM (PDT)
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
In Oral 4: Probablistic Models, Vision
Fan Bao · Chongxuan Li · Jun Zhu · Bo Zhang
Oral
Thu Apr 28 01:15 AM -- 01:30 AM (PDT)
Natural Language Descriptions of Deep Features
In Oral 4: Sequence modeling
Evan Hernandez · Sarah Schwettmann · David Bau · Teona Bagashvili · Antonio Torralba · Jacob Andreas
Oral
Thu Apr 28 01:15 AM -- 01:30 AM (PDT)
Comparing Distributions by Measuring Differences that Affect Decision Making
In Oral 4: Probablistic Models, Vision
Shengjia Zhao · Abhishek Sinha · Yutong He · Aidan Perreault · Jiaming Song · Stefano Ermon
Oral
Thu Apr 28 01:30 AM -- 01:45 AM (PDT)
Finetuned Language Models are Zero-Shot Learners
In Oral 4: Sequence modeling
Jason Wei · Maarten Bosma · Vincent Zhao · Kelvin Guu · Wei Yu · Brian Lester · Nan Du · Andrew Dai · Quoc V Le
Oral
Thu Apr 28 01:30 AM -- 01:45 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
In Oral 4: Probablistic Models, Vision
Bo Wan · Wenjuan Han · Zilong Zheng · Tinne Tuytelaars
Oral
Thu Apr 28 01:45 AM -- 02:00 AM (PDT)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
In Oral 4: Probablistic Models, Vision
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
Oral
Thu Apr 28 01:45 AM -- 02:00 AM (PDT)
Large Language Models Can Be Strong Differentially Private Learners
In Oral 4: Sequence modeling
Xuechen Li · Florian Tramer · Percy Liang · Tatsunori Hashimoto
Oral
Thu Apr 28 02:00 AM -- 02:15 AM (PDT)
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
In Oral 4: Sequence modeling
Minkai Xu · Lantao Yu · Yang Song · Chence Shi · Stefano Ermon · Jian Tang
Oral
Thu Apr 28 02:00 AM -- 02:15 AM (PDT)
BEiT: BERT Pre-Training of Image Transformers
In Oral 4: Probablistic Models, Vision
Hangbo Bao · Li Dong · Songhao Piao · Furu Wei
Oral
Thu Apr 28 02:15 AM -- 02:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
In Oral 4: Probablistic Models, Vision
Shuming Kong · Yanyan Shen · Linpeng Huang
Oral
Thu Apr 28 02:15 AM -- 02:30 AM (PDT)
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
In Oral 4: Sequence modeling
Shi Zhan Liu · Hang Yu · Cong Liao · Jianguo Li · Weiyao Lin · Alex Liu ·
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
In Poster Session 10
Osama Makansi · Julius von Kuegelgen · Francesco Locatello · Peter Gehler · Dominik Janzing · Thomas Brox · Bernhard Schoelkopf
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
In Poster Session 10
Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
In Poster Session 10
Alon Berliner · Guy Rotman · Yossi Adi · Roi Reichart · Tamir Hazan
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
In Poster Session 10
Xiaoyu Chen · Jiachen Hu · Lin Yang · Liwei Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
In Poster Session 10
Yichen Qian · Xiuyu Sun · Ming Lin · Zhiyu Tan · Rong Jin
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Dynamic Token Normalization improves Vision Transformers
In Poster Session 10
Wenqi Shao · Yixiao Ge · Zhaoyang Zhang · XUYUAN XU · Xiaogang Wang · Ying Shan · Ping Luo
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
On the Pitfalls of Analyzing Individual Neurons in Language Models
In Poster Session 10
Omer Antverg · Yonatan Belinkov
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
In Poster Session 10
Wenxiao Wang · Lu Yao · Long Chen · Binbin Lin · Deng Cai · Xiaofei He · Wei Liu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Deep Point Cloud Reconstruction
In Poster Session 10
Jaesung Choe · ByeongIn Joung · Francois Rameau · Jaesik Park · In Kweon
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
In Poster Session 10
Pierre-Alexandre Kamienny · Jean Tarbouriech · sylvain lamprier · Alessandro Lazaric · Ludovic Denoyer
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Active Hierarchical Exploration with Stable Subgoal Representation Learning
In Poster Session 10
Siyuan Li · Jin Zhang · Jianhao Wang · Yang Yu · Chongjie Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Differentiable Expectation-Maximization for Set Representation Learning
In Poster Session 10
Minyoung Kim
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Universal Approximation Under Constraints is Possible with Transformers
In Poster Session 10
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate
In Poster Session 10
Yingtian Zou · Fusheng Liu · Qianxiao Li
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
In Poster Session 10
Jaehoon Lee · Jeon Jinsung · Sheo yon Jhin · Jihyeon Hyeong · Jayoung Kim · Minju Jo · Kook Seungji · Noseong Park
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Exploring Memorization in Adversarial Training
In Poster Session 10
Yinpeng Dong · Ke Xu · Xiao Yang · Tianyu Pang · Zhijie Deng · Hang Su · Jun Zhu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
In Poster Session 10
David W. Romero · Robert-Jan Bruintjes · Jakub Tomczak · Erik Bekkers · Mark Hoogendoorn · Jan Gemert
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Adversarially Robust Conformal Prediction
In Poster Session 10
Asaf Gendler · Tsui-Wei Weng · Luca Daniel · Yaniv Romano
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning
In Poster Session 10
Nam Hyeon-Woo · Moon Ye-Bin · Tae-Hyun Oh
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Generative Pseudo-Inverse Memory
In Poster Session 10
Kha Pham · Hung Le · Man Ngo · Truyen Tran · Bao Ho · Svetha Venkatesh
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
In Poster Session 10
Sung Woo Park · Kyungjae Lee · Junseok Kwon
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
In Poster Session 10
Biao Zhang · Peter Wonka
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Representation-Agnostic Shape Fields
In Poster Session 10
Xiaoyang Huang · Jiancheng Yang · Yanjun Wang · Ziyu Chen · Linguo Li · Teng Li · Bingbing Ni · Wenjun Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CKConv: Continuous Kernel Convolution For Sequential Data
In Poster Session 10
David W. Romero · Anna Kuzina · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
In Poster Session 10
Shi Zhan Liu · Hang Yu · Cong Liao · Jianguo Li · Weiyao Lin · Alex Liu ·
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Evaluating Disentanglement of Structured Representations
In Poster Session 10
Raphaël Dang-Nhu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
How Do Vision Transformers Work?
In Poster Session 10
Namuk Park · Songkuk Kim
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
In Poster Session 10
Huiqi Deng · Qihan Ren · Hao Zhang · Quanshi Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
In Poster Session 10
Xi Lin · Zhiyuan Yang · Qingfu Zhang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
AS-MLP: An Axial Shifted MLP Architecture for Vision
In Poster Session 10
Dongze Lian · Zehao Yu · Xing Sun · Shenghua Gao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
In Poster Session 10
Leslie O'Bray · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO
In Poster Session 10
Khang Truong Giang · Soohwan Song · Sungho Jo
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
In Poster Session 10
Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
In Poster Session 10
Nicholas Gao · Stephan Günnemann
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
In Poster Session 10
Seanie Lee · Hae Beom Lee · Juho Lee · Sung Ju Hwang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
In Poster Session 10
Ziming Wang · Nan Xue · Ling Lei · Gui-Song Xia
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Dive Deeper Into Integral Pose Regression
In Poster Session 10
Kerui Gu · Linlin Yang · Angela Yao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
In Poster Session 10
Yaxing Wang · Joost van de Weijer · Lu Yu · SHANGLING JUI
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
In Poster Session 10
Masahiro Kato · Masaaki Imaizumi · Kenichiro McAlinn · Shota Yasui · Haruo Kakehi
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
In Poster Session 10
Paul Jeha · Michael Bohlke-Schneider · Pedro Mercado · Shubham Kapoor · Rajbir Nirwan · Valentin Flunkert · Jan Gasthaus · Tim Januschowski
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
In Poster Session 10
Rahul Rade · Seyed-Mohsen Moosavi-Dezfooli
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
In Poster Session 10
Gianluigi Silvestri · Emily Fertig · Dave Moore · Luca Ambrogioni
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Defending Against Image Corruptions Through Adversarial Augmentations
In Poster Session 10
Dan A. Calian · Florian Stimberg · Olivia Wiles · Sylvestre-Alvise Rebuffi · Andras Gyorgy · Timothy A Mann · Sven Gowal
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
In Poster Session 10
Hang Ren · Aivar Sootla · Taher Jafferjee · Junxiao Shen · Jun Wang · Haitham Bou Ammar
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
In Poster Session 10
Ali Kavis · Kfir Y Levy · Volkan Cevher
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Variational Predictive Routing with Nested Subjective Timescales
In Poster Session 10
Alex Zakharov · Qinghai Guo · Zafeirios Fountas
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Group equivariant neural posterior estimation
In Poster Session 10
Maximilian Dax · Stephen Green · Jonathan Gair · Michael Deistler · Bernhard Schoelkopf · Jakob Macke
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Prototypical Contrastive Predictive Coding
In Poster Session 10
Kyungmin Lee
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients
In Poster Session 10
Nan Lu · Zhao Wang · Xiaoxiao Li · Gang Niu · Qi Dou · Masashi Sugiyama
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis
In Poster Session 10
Jiatao Gu · Lingjie Liu · Peng Wang · Christian Theobalt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
AlphaZero-based Proof Cost Network to Aid Game Solving
In Poster Session 10
Ti-Rong Wu · Chung-Chin Shih · Ting Han Wei · Meng Yu Tsai · Wei-Yuan Hsu · I-Chen Wu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
It Takes Two to Tango: Mixup for Deep Metric Learning
In Poster Session 10
Shashanka Venkataramanan · Bill Psomas · Ewa Kijak · laurent amsaleg · Konstantinos Karantzalos · Yannis Avrithis
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
GNN-LM: Language Modeling based on Global Contexts via GNN
In Poster Session 10
Yuxian Meng · Shi Zong · Xiaoya Li · Xiaofei Sun · Tianwei Zhang · Fei Wu · Jiwei Li
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Self-supervised Learning is More Robust to Dataset Imbalance
In Poster Session 10
Hong Liu · Jeff Z. HaoChen · Adrien Gaidon · Tengyu Ma
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
In Poster Session 10
Zhaozhi Qian · Krzysztof Kacprzyk · Mihaela van der Schaar
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Vitruvion: A Generative Model of Parametric CAD Sketches
In Poster Session 10
Ari Seff · Wenda Zhou · Nick Richardson · Ryan P Adams
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
A Deep Variational Approach to Clustering Survival Data
In Poster Session 10
Laura Manduchi · Ričards Marcinkevičs · Michela Massi · Thomas Weikert · Alexander Sauter · Verena Gotta · Timothy Müller · Flavio Vasella · Marian Neidert · Marc Pfister · Bram Stieltjes · Julia E Vogt
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
In Poster Session 10
Tian Xie · Xiang Fu · Octavian Ganea · Regina Barzilay · Tommi Jaakkola
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Exploiting Class Activation Value for Partial-Label Learning
In Poster Session 10
Fei Zhang · Lei Feng · Bo Han · Tongliang Liu · Gang Niu · Tao Qin · Masashi Sugiyama
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
IGLU: Efficient GCN Training via Lazy Updates
In Poster Session 10
S Deepak Narayanan · Aditya Sinha · Prateek Jain · Purushottam Kar · SUNDARARAJAN SELLAMANICKAM
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
In Poster Session 10
Cédric Rommel · Thomas Moreau · Joseph Paillard · Alexandre Gramfort
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
In Poster Session 10
Ross Clarke · Elre Oldewage · José Miguel Hernández Lobato
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Robust and Scalable SDE Learning: A Functional Perspective
In Poster Session 10
Scott Cameron · Tyron Cameron · Arnu Pretorius · S Roberts
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Policy improvement by planning with Gumbel
In Poster Session 10
Ivo Danihelka · Arthur Guez · Julian Schrittwieser · David Silver
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Nonlinear ICA Using Volume-Preserving Transformations
In Poster Session 10
Xiaojiang Yang · Yi Wang · Jiacheng Sun · Xing Zhang · Shifeng Zhang · Zhenguo Li · Junchi Yan
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
In Poster Session 10
Junhyun Nam · Jaehyung Kim · Jaeho Lee · Jinwoo Shin
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Omni-Dimensional Dynamic Convolution
In Poster Session 10
Chao Li · Aojun Zhou · Anbang Yao
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
In Poster Session 10
Tianlong Chen · Zhenyu Zhang · pengjun wang · Santosh Balachandra · Haoyu Ma · Zehao Wang · Zhangyang Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
In Poster Session 10
Julius Adebayo · Michael Muelly · Harold Abelson · Been Kim
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Uncertainty Modeling for Out-of-Distribution Generalization
In Poster Session 10
Xiaotong Li · Yongxing Dai · Yixiao Ge · Jun Liu · Ying Shan · LINGYU DUAN
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Constraining Linear-chain CRFs to Regular Languages
In Poster Session 10
Sean Papay · Roman Klinger · Sebastian Pado
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Understanding approximate and unrolled dictionary learning for pattern recovery
In Poster Session 10
Benoît Malézieux · Thomas Moreau · Matthieu Kowalski
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
In Poster Session 10
Manuel Nonnenmacher · Thomas Pfeil · Ingo Steinwart · David Reeb
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
CoBERL: Contrastive BERT for Reinforcement Learning
In Poster Session 10
Andrea Banino · Adria Puigdomenech Badia · Jacob C Walker · Tim Scholtes · Jovana Mitrovic · Charles Blundell
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Explaining Point Processes by Learning Interpretable Temporal Logic Rules
In Poster Session 10
Shuang Li · Mingquan Feng · Lu Wang · Abdelmajid Essofi · Yufeng Cao · Junchi Yan · Le Song
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
In Poster Session 10
Louis Rouillard · Demian Wassermann
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
In Poster Session 10
Yuanfei Wang · Fangwei Zhong · Jing Xu · Yizhou Wang
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Counterfactual Plans under Distributional Ambiguity
In Poster Session 10
Ngoc Bui · Duy Nguyen · Viet Anh Nguyen
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT)
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
In Poster Session 10
Siddharth Mysore · George Cheng · yunqi zhao · Kate Saenko · Meng Wu
Poster
Thu Apr 28 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning to Extend Molecular Scaffolds with Structural Motifs
In Poster Session 10
Krzysztof Maziarz · Henry Jackson-Flux · Pashmina Cameron · Finton Sirockin · Nadine Schneider · Nikolaus Stiefl · Marwin Segler · Marc Brockschmidt
Spotlight
Thu Apr 28 02:30 AM (PDT)
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Leslie O'Bray · Max Horn · Bastian Rieck · Karsten Borgwardt
Spotlight
Thu Apr 28 02:30 AM (PDT)
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher · Thomas Pfeil · Ingo Steinwart · David Reeb
Spotlight
Thu Apr 28 02:30 AM (PDT)
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu · Jeff Z. HaoChen · Adrien Gaidon · Tengyu Ma
Spotlight
Thu Apr 28 02:30 AM (PDT)
How Do Vision Transformers Work?
Namuk Park · Songkuk Kim
Spotlight
Thu Apr 28 02:30 AM (PDT)
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Masahiro Kato · Masaaki Imaizumi · Kenichiro McAlinn · Shota Yasui · Haruo Kakehi
Spotlight
Thu Apr 28 02:30 AM (PDT)
Omni-Dimensional Dynamic Convolution
Chao Li · Aojun Zhou · Anbang Yao
Spotlight
Thu Apr 28 02:30 AM (PDT)
Policy improvement by planning with Gumbel
Ivo Danihelka · Arthur Guez · Julian Schrittwieser · David Silver
Spotlight
Thu Apr 28 02:30 AM (PDT)
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross Clarke · Elre Oldewage · José Miguel Hernández Lobato
Spotlight
Thu Apr 28 02:30 AM (PDT)
GNN-LM: Language Modeling based on Global Contexts via GNN
Yuxian Meng · Shi Zong · Xiaoya Li · Xiaofei Sun · Tianwei Zhang · Fei Wu · Jiwei Li
Spotlight
Thu Apr 28 02:30 AM (PDT)
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Xiaoyu Chen · Jiachen Hu · Lin Yang · Liwei Wang
Spotlight
Thu Apr 28 02:30 AM (PDT)
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino · Adria Puigdomenech Badia · Jacob C Walker · Tim Scholtes · Jovana Mitrovic · Charles Blundell
Spotlight
Thu Apr 28 02:30 AM (PDT)
Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic
Spotlight
Thu Apr 28 02:30 AM (PDT)
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Zhaozhi Qian · Krzysztof Kacprzyk · Mihaela van der Schaar
Spotlight
Thu Apr 28 02:30 AM (PDT)
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
Nicholas Gao · Stephan Günnemann
From Reinforcement Learning to AI
Thu Apr 28 09:00 AM -- 10:15 AM (PDT)
Doina Precup
Doina Precup
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
In Poster Session 11
Yanchao Sun · Ruijie Zheng · Yongyuan Liang · Furong Huang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Energy-Inspired Molecular Conformation Optimization
In Poster Session 11
Jiaqi Guan · Wei Qian · Qiang Liu · Wei-Ying Ma · Jianzhu Ma · Jian Peng
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
In Poster Session 11
Brett Larsen · Stanislav Fort · Nic Becker · Surya Ganguli
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
In Poster Session 11
Mark Hamilton · Scott Lundberg · Stephanie Fu · Lei Zhang · William Freeman
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Conditional Object-Centric Learning from Video
In Poster Session 11
Thomas Kipf · Gamaleldin Elsayed · Aravindh Mahendran · Austin Stone · Sara Sabour · Georg Heigold · Rico Jonschkowski · Alexey Dosovitskiy · Klaus Greff
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning more skills through optimistic exploration
In Poster Session 11
DJ Strouse · Kate Baumli · David Warde-Farley · Volodymyr Mnih · Steven Hansen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mirror Descent Policy Optimization
In Poster Session 11
Manan Tomar · Lior Shani · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
In Poster Session 11
Ashwin Paranjape · Omar Khattab · Christopher Potts · Peter Bailis · Christopher Manning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
In Poster Session 11
Dingfan Chen · Ning Yu · Mario Fritz
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Compositional Attention: Disentangling Search and Retrieval
In Poster Session 11
Sarthak Mittal · Sharath Chandra Raparthy · Irina Rish · Yoshua Bengio · Guillaume Lajoie
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Bregman Gradient Policy Optimization
In Poster Session 11
Feihu Huang · Shangqian Gao · Heng Huang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
In Poster Session 11
Rafid Mahmood · Sanja Fidler · Marc T Law
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Monotonic Differentiable Sorting Networks
In Poster Session 11
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
In Poster Session 11
Vikash Sehwag · Saeed Mahloujifar · Tinashe Handina · Sihui Dai · Chong Xiang · Mung Chiang · Prateek Mittal
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
In Poster Session 11
Tim Franzmeyer · Mateusz Malinowski · Joao F. Henriques
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
In Poster Session 11
Hui Jin · Pradeep Kumar Banerjee · Guido Montufar
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
In Poster Session 11
Hadi Abdullah · Aditya Karlekar · Vincent Bindschaedler · Patrick Traynor
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Explanations of Black-Box Models based on Directional Feature Interactions
In Poster Session 11
Aria Masoomi · Davin Hill · Zhonghui Xu · Craig Hersh · Edwin Silverman · Peter Castaldi · Stratis Ioannidis · Jennifer Dy
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language model compression with weighted low-rank factorization
In Poster Session 11
Yen-Chang Hsu · Ting Hua · Sung-En Chang · Qian Lou · Yilin Shen · Hongxia Jin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
In Poster Session 11
Ada Wan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Can an Image Classifier Suffice For Action Recognition?
In Poster Session 11
Quanfu Fan · Chun-Fu (Richard) Chen · Rameswar Panda
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
In Poster Session 11
Cédric Allain · Alexandre Gramfort · Thomas Moreau
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
In Poster Session 11
Yusong Wu · Ethan Manilow · Yi Deng · Rigel Swavely · Kyle Kastner · Timotheus Cooijmans · Aaron Courville · Anna Huang · Jesse Engel
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
In Poster Session 11
Zijie Li · Tianqin Li · Amir Barati Farimani
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sparse Communication via Mixed Distributions
In Poster Session 11
António Farinhas · Wilker Aziz · Vlad Niculae · Andre Martins
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Programmatic Reinforcement Learning without Oracles
In Poster Session 11
Wenjie Qiu · He Zhu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Operator Theoretic View On Pruning Deep Neural Networks
In Poster Session 11
William Redman · Maria Fonoberova · Ryan Mohr · Yannis Kevrekidis · Igor Mezic
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Attention-based Interpretability with Concept Transformers
In Poster Session 11
Mattia Rigotti · Christoph Miksovic · Ioana Giurgiu · Thomas Gschwind · Paolo Scotton
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
In Poster Session 11
Luke Melas-Kyriazi · Christian Rupprecht · Iro Laina · Andrea Vedaldi
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
In Poster Session 11
Alberto Bietti
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Proof Artifact Co-Training for Theorem Proving with Language Models
In Poster Session 11
Jesse Han · Jason Rute · Yuhuai Wu · Edward Ayers · Stanislas Polu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
In Poster Session 11
Junyuan Hong · Haotao Wang · Zhangyang Wang · Jiayu Zhou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
In Poster Session 11
Todor Davchev · Oleg Sushkov · Jean-Baptiste Regli · Stefan Schaal · Yusuf Aytar · Markus Wulfmeier · Jon Scholz
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
In Poster Session 11
Adrien Bardes · Jean Ponce · Yann LeCun
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Optimization and Adaptive Generalization of Three layer Neural Networks
In Poster Session 11
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
In Poster Session 11
Dinghuai Zhang · Jie Fu · Yoshua Bengio · Aaron Courville
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
In Poster Session 11
Yinigwei Li · Tiffany Chen · Maya Kabkab · Ruichi Yu · Longlong Jing · Yurong You · Hang Zhao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
In Poster Session 11
yiqi jiang · Zhiyu Tan · Junyan Wang · Xiuyu Sun · Ming Lin · Li Hao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unified Visual Transformer Compression
In Poster Session 11
Shixing Yu · Tianlong Chen · Jiayi Shen · Huan Yuan · Jianchao Tan · Sen Yang · Ji Liu · Zhangyang Wang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
In Poster Session 11
Johannes Müller · Guido Montufar
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Message Passing Neural PDE Solvers
In Poster Session 11
Johannes Brandstetter · Daniel Worrall · Max Welling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
In Poster Session 11
Dingyang Chen · Yile Li · Qi Zhang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
In Poster Session 11
Victor Schmidt · Alexandra Luccioni · Mélisande Teng · Tianyu Zhang · Alexia Reynaud · Sunand Raghupathi · Gautier Cosne · Adrien Juraver · Vahe Vardanyan · Alex Hernandez-Garcia · Yoshua Bengio
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Possibility Before Utility: Learning And Using Hierarchical Affordances
In Poster Session 11
Robert S Costales · Shariq Iqbal · Fei Sha
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Map for Active Semantic Goal Navigation
In Poster Session 11
Georgios Georgakis · Bernadette Bucher · Karl Schmeckpeper · Siddharth Singh · Kostas Daniilidis
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Bag of Instances Aggregation Boosts Self-supervised Distillation
In Poster Session 11
Haohang Xu · Jiemin Fang · XIAOPENG ZHANG · Lingxi Xie · Xinggang Wang · Wenrui Dai · Hongkai Xiong · Qi Tian
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Non-Linear Operator Approximations for Initial Value Problems
In Poster Session 11
Gaurav Gupta · Xiongye Xiao · Radu Balan · Paul Bogdan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Minimax Optimization with Smooth Algorithmic Adversaries
In Poster Session 11
Tanner Fiez · Chi Jin · Praneeth Netrapalli · Lillian J Ratliff
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domain Adversarial Training: A Game Perspective
In Poster Session 11
David Acuna · Marc T Law · Guojun Zhang · Sanja Fidler
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Local Feature Swapping for Generalization in Reinforcement Learning
In Poster Session 11
David Bertoin · Emmanuel Rachelson
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Practical Integration via Separable Bijective Networks
In Poster Session 11
Christopher Bender · Patrick Emmanuel · Michael Reiter · Junier Oliva
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
In Poster Session 11
Shaochen (Henry) Zhong · Guanqun Zhang · Ningjia Huang · shuai xu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Schedule Learning rate with Graph Neural Networks
In Poster Session 11
Yuanhao Xiong · Li-Cheng Lan · Xiangning Chen · Ruochen Wang · Cho-Jui Hsieh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Online Ad Hoc Teamwork under Partial Observability
In Poster Session 11
Pengjie Gu · Mengchen Zhao · Jianye HAO · Bo An
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
In Poster Session 11
Shichang Zhang · Yozen Liu · Yizhou Sun · Neil Shah
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
In Poster Session 11
Mark Hamilton · Zhoutong Zhang · Bharath Hariharan · Noah Snavely · William Freeman
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
In Poster Session 11
Rumen R Dangovski · Li Jing · Charlotte Loh · Seungwook Han · Akash Srivastava · Brian Cheung · Pulkit Agrawal · Marin Soljacic
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Zest of LIME: Towards Architecture-Independent Model Distances
In Poster Session 11
Hengrui Jia · Hongyu Chen · Jonas Guan · Ali Shahin Shamsabadi · Nicolas Papernot
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Overcoming The Spectral Bias of Neural Value Approximation
In Poster Session 11
Ge Yang · Anurag Ajay · Pulkit Agrawal
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
In Poster Session 11
QI LI · Kaichun Mo · Yanchao Yang · Hang Zhao · Leonidas Guibas
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Lossless Compression with Probabilistic Circuits
In Poster Session 11
Anji Liu · Stephan Mandt · Guy Van den Broeck
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Agnostic Approach to Federated Learning with Class Imbalance
In Poster Session 11
Zebang Shen · Juan Cervino · Hamed Hassani · Alejandro Ribeiro
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Properties from mechanisms: an equivariance perspective on identifiable representation learning
In Poster Session 11
Kartik Ahuja · Jason Hartford · Yoshua Bengio
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On Bridging Generic and Personalized Federated Learning for Image Classification
In Poster Session 11
Hong-You Chen · Wei-Lun Chao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
In Poster Session 11
Lingjiao Chen · Peter Bailis · James Y Zou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Imitation Learning from Observations under Transition Model Disparity
In Poster Session 11
Tanmay Gangwani · Yuan Zhou · Jian Peng
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
EntQA: Entity Linking as Question Answering
In Poster Session 11
Wenzheng Zhang · Wenyue Hua · Karl Stratos
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
In Poster Session 11
Johannes Brandstetter · Rob Hesselink · Elise van der Pol · Erik Bekkers · Max Welling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
In Poster Session 11
S Chandra Mouli · Bruno Ribeiro
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
In Poster Session 11
Lun Wang · Iosif Pinelis · Dawn Song
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
In Poster Session 11
Michelle Miller · SueYeon Chung · Ken Miller
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
In Poster Session 11
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
In Poster Session 11
Arda Sahiner · Tolga Ergen · Batu Ozturkler · Burak Bartan · John M Pauly · Morteza Mardani · Mert Pilanci
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Query Embedding on Hyper-Relational Knowledge Graphs
In Poster Session 11
Dimitrios Alivanistos · Max Berrendorf · Michael Cochez · Mikhail Galkin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Boosting Randomized Smoothing with Variance Reduced Classifiers
In Poster Session 11
Miklós Horváth · Mark N Müller · Marc Fischer · Martin Vechev
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Subgraph Aggregation Networks
In Poster Session 11
Beatrice Bevilacqua · Fabrizio Frasca · Derek Lim · Balasubramaniam Srinivasan · Chen Cai · GOPINATH BALAMURUGAN · Michael Bronstein · Haggai Maron
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
In Poster Session 11
Wang Yifan · Lukas Rahmann · Olga Sorkine-hornung
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Curves for SGD on Structured Features
In Poster Session 11
Blake Bordelon · Cengiz Pehlevan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Looking Back on Learned Experiences For Class/task Incremental Learning
In Poster Session 11
Mozhgan Pourkeshavarz · Guoying Zhao · Mohammad Sabokrou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Increasing the Cost of Model Extraction with Calibrated Proof of Work
In Poster Session 11
Adam Dziedzic · Muhammad Ahmad Kaleem · Yu Shen Lu · Nicolas Papernot
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
In Poster Session 11
Liam H Fowl · Jonas Geiping · Wojciech Czaja · Micah Goldblum · Tom Goldstein
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
In Poster Session 11
Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Jun Yu · Gang Niu · Masashi Sugiyama
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Towards a Unified View of Parameter-Efficient Transfer Learning
In Poster Session 11
Junxian He · Chunting Zhou · Xuezhe Ma · Taylor Berg-Kirkpatrick · Graham Neubig
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
In Poster Session 11
Xingyu Lin · Zhiao Huang · Yunzhu Li · Joshua B Tenenbaum · David Held · Chuang Gan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Object-Oriented Dynamics for Planning from Text
In Poster Session 11
Guiliang Liu · Ashutosh Adhikari · Amir-massoud Farahmand · Pascal Poupart
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning-Augmented $k$-means Clustering
In Poster Session 11
Jon Ergun · Zhili Feng · Sandeep Silwal · David Woodruff · Samson Zhou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autonomous Reinforcement Learning: Formalism and Benchmarking
In Poster Session 11
Archit Sharma · Kelvin Xu · Nikhil Sardana · Abhishek Gupta · Karol Hausman · Sergey Levine · Chelsea Finn
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
In Poster Session 11
Charlie Hou · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Deep ReLU Networks Preserve Expected Length
In Poster Session 11
Boris Hanin · Ryan Jeong · David Rolnick
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Multi-Stage Episodic Control for Strategic Exploration in Text Games
In Poster Session 11
Jens Tuyls · Shunyu Yao · Sham M Kakade · Karthik Narasimhan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
In Poster Session 11
Pardis Pashakhanloo · Aaditya Naik · Yuepeng Wang · Hanjun Dai · Petros Maniatis · Mayur Naik
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the relation between statistical learning and perceptual distances
In Poster Session 11
Alexander Hepburn · Valero Laparra · Raul Santos-Rodriguez · Johannes Ballé · Jesus Malo
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
In Poster Session 11
Lucas Caccia · Rahaf Aljundi · Nader Asadi · Tinne Tuytelaars · Joelle Pineau · Eugene Belilovsky
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Representation Learning for Online and Offline RL in Low-rank MDPs
In Poster Session 11
Masatoshi Uehara · Xuezhou Zhang · Wen Sun
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
In Poster Session 11
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Anti-Concentrated Confidence Bonuses For Scalable Exploration
In Poster Session 11
Jordan Ash · Cyril Zhang · Surbhi Goel · Akshay Krishnamurthy · Sham M Kakade
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
In Poster Session 11
Stephan Lorenzen · Christian Igel · Mads Nielsen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics
In Poster Session 11
Deshan Gong · Zhanxing Zhu · Andrew Bulpitt · He Wang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Understanding the Variance Collapse of SVGD in High Dimensions
In Poster Session 11
Jimmy Ba · Murat A Erdogdu · Marzyeh Ghassemi · Shengyang Sun · Taiji Suzuki · Denny Wu · Tianzong Zhang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
In Poster Session 11
Peng Jin · Xitong Zhang · Yinpeng Chen · Sharon Huang · Zicheng Liu · Youzuo Lin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
In Poster Session 11
Andjela Mladenovic · Iosif Sakos · Gauthier Gidel · Georgios Piliouras
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autoregressive Quantile Flows for Predictive Uncertainty Estimation
In Poster Session 11
Phillip Si · Allan Bishop · Volodymyr Kuleshov
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pareto Policy Adaptation
In Poster Session 11
Panagiotis Kyriakis · Jyotirmoy Deshmukh · Paul Bogdan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pix2seq: A Language Modeling Framework for Object Detection
In Poster Session 11
Ting Chen · Saurabh Saxena · Lala Li · David Fleet · Geoffrey Hinton
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language-biased image classification: evaluation based on semantic representations
In Poster Session 11
Yoann Lemesle · Masataka Sawayama · Guillermo Valle-Perez · Maxime Adolphe · Hélène Sauzéon · Pierre-Yves Oudeyer
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
In Poster Session 11
Ruinan Jin · Yu XING · Xingkang He
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
In Poster Session 11
Sabri Eyuboglu · Maya Varma · Khaled Saab · Jean-Benoit Delbrouck · Christopher Lee-Messer · Jared Dunnmon · James Y Zou · Christopher Re
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
In Poster Session 11
Sherry Yang · Sergey Levine · Ofir Nachum
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
In Poster Session 11
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov · Jiansheng Wei
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FILM: Following Instructions in Language with Modular Methods
In Poster Session 11
So Yeon Min · Devendra Singh Chaplot · Pradeep K Ravikumar · Yonatan Bisk · Ruslan Salakhutdinov
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
In Poster Session 11
Justin Gilmer · Behrooz Ghorbani · Ankush Garg · Sneha Kudugunta · Behnam Neyshabur · David Cardoze · George Dahl · Zachary Nado · Orhan Firat
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
In Poster Session 11
Benjamin Eysenbach · Sergey Levine
Spotlight
Thu Apr 28 10:30 AM (PDT)
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
Spotlight
Thu Apr 28 10:30 AM (PDT)
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He · Chunting Zhou · Xuezhe Ma · Taylor Berg-Kirkpatrick · Graham Neubig
Spotlight
Thu Apr 28 10:30 AM (PDT)
Learning more skills through optimistic exploration
DJ Strouse · Kate Baumli · David Warde-Farley · Volodymyr Mnih · Steven Hansen
Spotlight
Thu Apr 28 10:30 AM (PDT)
On the relation between statistical learning and perceptual distances
Alexander Hepburn · Valero Laparra · Raul Santos-Rodriguez · Johannes Ballé · Jesus Malo
Spotlight
Thu Apr 28 10:30 AM (PDT)
Autoregressive Quantile Flows for Predictive Uncertainty Estimation
Phillip Si · Allan Bishop · Volodymyr Kuleshov
Spotlight
Thu Apr 28 10:30 AM (PDT)
Explanations of Black-Box Models based on Directional Feature Interactions
Aria Masoomi · Davin Hill · Zhonghui Xu · Craig Hersh · Edwin Silverman · Peter Castaldi · Stratis Ioannidis · Jennifer Dy
Spotlight
Thu Apr 28 10:30 AM (PDT)
Properties from mechanisms: an equivariance perspective on identifiable representation learning
Kartik Ahuja · Jason Hartford · Yoshua Bengio
Spotlight
Thu Apr 28 10:30 AM (PDT)
Programmatic Reinforcement Learning without Oracles
Wenjie Qiu · He Zhu
Spotlight
Thu Apr 28 10:30 AM (PDT)
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen · Wei-Lun Chao
Spotlight
Thu Apr 28 10:30 AM (PDT)
EntQA: Entity Linking as Question Answering
Wenzheng Zhang · Wenyue Hua · Karl Stratos
Spotlight
Thu Apr 28 10:30 AM (PDT)
Possibility Before Utility: Learning And Using Hierarchical Affordances
Robert S Costales · Shariq Iqbal · Fei Sha
Spotlight
Thu Apr 28 10:30 AM (PDT)
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang · Jie Fu · Yoshua Bengio · Aaron Courville
Spotlight
Thu Apr 28 10:30 AM (PDT)
Boosting Randomized Smoothing with Variance Reduced Classifiers
Miklós Horváth · Mark N Müller · Marc Fischer · Martin Vechev
Spotlight
Thu Apr 28 10:30 AM (PDT)
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer · Mateusz Malinowski · Joao F. Henriques
Spotlight
Thu Apr 28 10:30 AM (PDT)
Compositional Attention: Disentangling Search and Retrieval
Sarthak Mittal · Sharath Chandra Raparthy · Irina Rish · Yoshua Bengio · Guillaume Lajoie
Spotlight
Thu Apr 28 10:30 AM (PDT)
Lossless Compression with Probabilistic Circuits
Anji Liu · Stephan Mandt · Guy Van den Broeck
Spotlight
Thu Apr 28 10:30 AM (PDT)
Message Passing Neural PDE Solvers
Johannes Brandstetter · Daniel Worrall · Max Welling
Spotlight
Thu Apr 28 10:30 AM (PDT)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Dingfan Chen · Ning Yu · Mario Fritz
Spotlight
Thu Apr 28 10:30 AM (PDT)
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua · Fabrizio Frasca · Derek Lim · Balasubramaniam Srinivasan · Chen Cai · GOPINATH BALAMURUGAN · Michael Bronstein · Haggai Maron
Spotlight
Thu Apr 28 10:30 AM (PDT)
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic · Muhammad Ahmad Kaleem · Yu Shen Lu · Nicolas Papernot
Spotlight
Thu Apr 28 10:30 AM (PDT)
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Johannes Brandstetter · Rob Hesselink · Elise van der Pol · Erik Bekkers · Max Welling
Spotlight
Thu Apr 28 10:30 AM (PDT)
Learning-Augmented $k$-means Clustering
Jon Ergun · Zhili Feng · Sandeep Silwal · David Woodruff · Samson Zhou
Spotlight
Thu Apr 28 10:30 AM (PDT)
Multi-Stage Episodic Control for Strategic Exploration in Text Games
Jens Tuyls · Shunyu Yao · Sham M Kakade · Karthik Narasimhan
Spotlight
Thu Apr 28 10:30 AM (PDT)
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara · Xuezhou Zhang · Wen Sun
Spotlight
Thu Apr 28 10:30 AM (PDT)
Looking Back on Learned Experiences For Class/task Incremental Learning
Mozhgan Pourkeshavarz · Guoying Zhao · Mohammad Sabokrou
Town Hall
Thu Apr 28 12:30 PM -- 01:30 PM (PDT)
Town Hall
Marc Deisenroth · Yejin Choi · Chelsea Finn · Yan Liu · Katja Hofmann · Alexander Rush
Invited Talk
Thu Apr 28 05:00 PM -- 06:15 PM (PDT)
Petascale connectomics and beyond
H. Sebastian Seung
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Universalizing Weak Supervision
In Poster Session 12
Changho Shin · Winfred Li · Harit Vishwakarma · Nicholas Roberts · Frederic Sala
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
In Poster Session 12
Shengyao Lu · Bang Liu · Keith G Mills · SHANGLING JUI · Di Niu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Enhancing Cross-lingual Transfer by Manifold Mixup
In Poster Session 12
Huiyun Yang · Huadong Chen · Hao Zhou · Lei Li
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
In Poster Session 12
Kangjie Chen · Yuxian Meng · Xiaofei Sun · Shangwei Guo · Tianwei Zhang · Jiwei Li · Chun Fan
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Natural Language Descriptions of Deep Features
In Poster Session 12
Evan Hernandez · Sarah Schwettmann · David Bau · Teona Bagashvili · Antonio Torralba · Jacob Andreas
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
KL Guided Domain Adaptation
In Poster Session 12
A. Tuan Nguyen · Toan Tran · Yarin Gal · Philip Torr · Atilim Gunes Baydin
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
In Poster Session 12
Yiping Lu · Haoxuan Chen · Jianfeng Lu · Lexing Ying · Jose Blanchet
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Reliable Adversarial Distillation with Unreliable Teachers
In Poster Session 12
Jianing ZHU · Jiangchao Yao · Bo Han · Jingfeng Zhang · Tongliang Liu · Gang Niu · Jingren Zhou · Jianliang Xu · Hongxia Yang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
In Poster Session 12
Viet Vo · Ehsan Abbasnejad · Damith Ranasinghe
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
In Poster Session 12
Armen Aghajanyan · Dmytro Okhonko · Mike Lewis · Mandar Joshi · Hu Xu · Gargi Ghosh · Luke Zettlemoyer
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Few-shot Learning via Dirichlet Tessellation Ensemble
In Poster Session 12
Chunwei Ma · Ziyun Huang · Mingchen Gao · Jinhui Xu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs
In Poster Session 12
Naman Agarwal · Syomantak Chaudhuri · Prateek Jain · Dheeraj Nagaraj · Praneeth Netrapalli
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
In Poster Session 12
Lingjie Mei · Jiayuan Mao · Ziqi Wang · Chuang Gan · Joshua B Tenenbaum
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
In Poster Session 12
Boshi Wang · Jialin Yi · Hang Dong · Bo Qiao · Chuan Luo · Qingwei Lin
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
In Poster Session 12
Yuzhou Chen · Ignacio Segovia-Dominguez · Baris Coskunuzer · Yulia Gel
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Transferable Adversarial Attack based on Integrated Gradients
In Poster Session 12
Yi Huang · Adams Kong
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
In Poster Session 12
Yaohua Wang · Yaobin Zhang · Fangyi Zhang · Senzhang Wang · Ming Lin · Yuqi Zhang · Xiuyu Sun
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Gradient Matching for Domain Generalization
In Poster Session 12
Yuge Shi · Jeffrey Seely · Philip Torr · Siddharth N · Awni Hannun · Nicolas Usunier · Gabriel Synnaeve
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
In Poster Session 12
Chencheng Xu · Zhiwei Hong · Minlie Huang · Tao Jiang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Constructing Orthogonal Convolutions in an Explicit Manner
In Poster Session 12
Tan Yu · Jun Li · YUNFENG CAI · Ping Li
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Few-Shot Backdoor Attacks on Visual Object Tracking
In Poster Session 12
Yiming Li · Haoxiang Zhong · Xingjun Ma · Yong Jiang · Shu-Tao Xia
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Model-augmented Prioritized Experience Replay
In Poster Session 12
Youngmin Oh · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
In Poster Session 12
Taesung Kim · Jinhee Kim · Yunwon Tae · Cheonbok Park · Jang-Ho Choi · Jaegul Choo
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Relational Surrogate Loss Learning
In Poster Session 12
Tao Huang · Zekang Li · Hua Lu · Yong Shan · Shusheng Yang · Yang Feng · Fei Wang · Shan You · Chang Xu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
In Poster Session 12
Chen-Hao Chao · Wei-Fang Sun · Bo-Wun Cheng · Yi-Chen Lo · Chia-Che Chang · Yu-Lun Liu · Yu-Lin Chang · Chia-Ping Chen · Chun-Yi Lee
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Improving the Accuracy of Learning Example Weights for Imbalance Classification
In Poster Session 12
Yuqi Liu · Bin Cao · JING FAN
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Neural Parameter Allocation Search
In Poster Session 12
Bryan Plummer · Nikoli Dryden · Julius Frost · Torsten Hoefler · Kate Saenko
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Self-Joint Supervised Learning
In Poster Session 12
Navid Kardan · Mubarak Shah · Mitchell Hill
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Lipschitz-constrained Unsupervised Skill Discovery
In Poster Session 12
Seohong Park · Jongwook Choi · Jaekyeom Kim · Honglak Lee · Gunhee Kim
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
LoRA: Low-Rank Adaptation of Large Language Models
In Poster Session 12
Edward Hu · yelong shen · Phillip Wallis · Zeyuan Allen-Zhu · Yuanzhi Li · Shean Wang · Lu Wang · Weizhu Chen
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
In Poster Session 12
Chengwei Qin · Shafiq Joty
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Model Zoo: A Growing Brain That Learns Continually
In Poster Session 12
Rahul Ramesh · Pratik A Chaudhari
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game
In Poster Session 12
Ziyi Chen · Shaocong Ma · Yi Zhou
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Provable Learning-based Algorithm For Sparse Recovery
In Poster Session 12
Xinshi Chen · Haoran Sun · Le Song
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Interacting Contour Stochastic Gradient Langevin Dynamics
In Poster Session 12
Wei Deng · Siqi Liang · Botao Hao · Guang Lin · Faming Liang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
OntoProtein: Protein Pretraining With Gene Ontology Embedding
In Poster Session 12
Ningyu Zhang · Zhen Bi · Xiaozhuan Liang · Siyuan Cheng · Haosen Hong · Shumin Deng · Qiang Zhang · Jiazhang Lian · Huajun Chen
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
In Poster Session 12
Sunghoon Hong · Deunsol Yoon · Kee-Eung Kim
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
In Poster Session 12
Byungseok Roh · JaeWoong Shin · Wuhyun Shin · Saehoon Kim
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Adversarial Robustness Through the Lens of Causality
In Poster Session 12
Yonggang Zhang · Mingming Gong · Tongliang Liu · Gang Niu · Xinmei Tian · Bo Han · Bernhard Schoelkopf · Kun Zhang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs
In Poster Session 12
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Extending the WILDS Benchmark for Unsupervised Adaptation
In Poster Session 12
Shiori Sagawa · Pang Wei Koh · Tony Lee · Irena Gao · Sang Michael Xie · Kendrick Shen · Ananya Kumar · Weihua Hu · Michihiro Yasunaga · Henrik Marklund · Sara Beery · Etienne David · Ian Stavness · Wei Guo · Jure Leskovec · Kate Saenko · Tatsunori Hashimoto · Sergey Levine · Chelsea Finn · Percy Liang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
In Poster Session 12
Alex Rogozhnikov
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
On the benefits of maximum likelihood estimation for Regression and Forecasting
In Poster Session 12
Pranjal Awasthi · Abhimanyu Das · Rajat Sen · Ananda Suresh
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences
In Poster Session 12
Gordon Euhyun Moon · Eric Cyr
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Vector-quantized Image Modeling with Improved VQGAN
In Poster Session 12
Jiahui Yu · Xin Li · Jing Yu Koh · Han Zhang · Ruoming Pang · James Qin · Alexander Ku · Yuanzhong Xu · Jason Baldridge · Yonghui Wu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Do deep networks transfer invariances across classes?
In Poster Session 12
Allan Zhou · Fahim Tajwar · Alexander Robey · Tom Knowles · George Pappas · Hamed Hassani · Chelsea Finn
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
SketchODE: Learning neural sketch representation in continuous time
In Poster Session 12
Ayan Das · Yongxin Yang · Timothy Hospedales · Tao Xiang · Yi-Zhe Song
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Hybrid Random Features
In Poster Session 12
Krzysztof Choromanski · Han Lin · Haoxian Chen · Arijit Sehanobish · Yuanzhe Ma · Deepali Jain · Jake Varley · Andy Zeng · Michael Ryoo · Valerii Likhosherstov · Dmitry Kalashnikov · Vikas Sindhwani · Adrian Weller
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Shuffle Private Stochastic Convex Optimization
In Poster Session 12
Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
In Poster Session 12
Yu Yao · Tongliang Liu · Bo Han · Mingming Gong · Gang Niu · Masashi Sugiyama · Dacheng Tao
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
In Poster Session 12
Zhi Zhang · Zhuoran Yang · Han Liu · Pratap Tokekar · Furong Huang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
In Poster Session 12
Haorui Wang · Haoteng Yin · Muhan Zhang · Pan Li
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
In Poster Session 12
Chengyue Gong · Dilin Wang · Meng Li · Xinlei Chen · Zhicheng Yan · Yuandong Tian · Qiang Liu · Vikas Chandra
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
MT3: Multi-Task Multitrack Music Transcription
In Poster Session 12
Josh Gardner · Ian Simon · Ethan Manilow · Curtis Hawthorne · Jesse Engel
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Surrogate Gap Minimization Improves Sharpness-Aware Training
In Poster Session 12
Juntang Zhuang · Boqing Gong · Liangzhe Yuan · Yin Cui · Hartwig Adam · Nicha C Dvornek · sekhar tatikonda · James s Duncan · Ting Liu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
InfinityGAN: Towards Infinite-Pixel Image Synthesis
In Poster Session 12
Chieh Hubert Lin · Hsin-Ying Lee · Yen-Chi Cheng · Sergey Tulyakov · Ming-Hsuan Yang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
A General Analysis of Example-Selection for Stochastic Gradient Descent
In Poster Session 12
Yucheng Lu · Si Yi Meng · Christopher De Sa
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Generalized Demographic Parity for Group Fairness
In Poster Session 12
Zhimeng Jiang · Xiaotian Han · Chao Fan · Fan Yang · Ali Mostafavi · Xia Hu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT) @ Virtual
Discriminative Similarity for Data Clustering
In Poster Session 12
Yingzhen Yang · Ping Li
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
In Poster Session 12
Kensen Shi · Hanjun Dai · Kevin Ellis · Charles Sutton
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
In Poster Session 12
Bingbin Liu · Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Topological Experience Replay
In Poster Session 12
Zhang-Wei Hong · Tao Chen · Yen-Chen Lin · Joni Pajarinen · Pulkit Agrawal
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Reverse Engineering of Imperceptible Adversarial Image Perturbations
In Poster Session 12
Yifan Gong · Yuguang Yao · Yize Li · Yimeng Zhang · Xiaoming Liu · Xue Lin · Sijia Liu
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Model-Based Offline Meta-Reinforcement Learning with Regularization
In Poster Session 12
Sen Lin · Jialin Wan · Tengyu Xu · Yingbin Liang · Junshan Zhang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
In Poster Session 12
Aahlad Puli · Lily Zhang · Eric Oermann · Rajesh Ranganath
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Huber Additive Models for Non-stationary Time Series Analysis
In Poster Session 12
Yingjie Wang · Xianrui Zhong · Fengxiang He · Hong Chen · Dacheng Tao
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Understanding Domain Randomization for Sim-to-real Transfer
In Poster Session 12
Xiaoyu Chen · Jiachen Hu · Chi Jin · Lihong Li · Liwei Wang
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Neural Spectral Marked Point Processes
In Poster Session 12
Shixiang Zhu · Haoyun Wang · Zheng Dong · Xiuyuan Cheng · Yao Xie
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
In Poster Session 12
Kohei Miyaguchi · Takayuki Katsuki · Akira Koseki · Toshiya Iwamori
Poster
Thu Apr 28 06:30 PM -- 08:30 PM (PDT)
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
In Poster Session 12
Ziqiao Wang · Yongyi Mao
Spotlight
Thu Apr 28 06:30 PM (PDT)
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
Yuzhou Chen · Ignacio Segovia-Dominguez · Baris Coskunuzer · Yulia Gel
Spotlight
Thu Apr 28 06:30 PM (PDT)
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen · Jiachen Hu · Chi Jin · Lihong Li · Liwei Wang
Spotlight
Thu Apr 28 06:30 PM (PDT)
A General Analysis of Example-Selection for Stochastic Gradient Descent
Yucheng Lu · Si Yi Meng · Christopher De Sa
Spotlight
Thu Apr 28 06:30 PM (PDT)
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu · Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Spotlight
Thu Apr 28 06:30 PM (PDT)
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
Zhi Zhang · Zhuoran Yang · Han Liu · Pratap Tokekar · Furong Huang
Spotlight
Thu Apr 28 06:30 PM (PDT)
MT3: Multi-Task Multitrack Music Transcription
Josh Gardner · Ian Simon · Ethan Manilow · Curtis Hawthorne · Jesse Engel
Spotlight
Thu Apr 28 06:30 PM (PDT)
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu · Bang Liu · Keith G Mills · SHANGLING JUI · Di Niu
Remarks
Fri Apr 29 12:00 AM -- 12:30 AM (PDT)
Closing Remarks
Yan Liu · Katja Hofmann · Feryal Behbahani · Vukosi Marivate
Workshop
Fri Apr 29 12:00 AM -- 11:50 AM (PDT)
Workshop on the Elements of Reasoning: Objects, Structure and Causality
Sungjin Ahn · Wilka Carvalho · Klaus Greff · Tong He · Thomas Kipf · Francesco Locatello · Sindy Löwe
Workshop
Fri Apr 29 01:45 AM -- 01:15 PM (PDT)
Workshop on Agent Learning in Open-Endedness
Minqi Jiang · Jack Parker-Holder · Michael D Dennis · Mikayel Samvelyan · Roberta Raileanu · Jakob Foerster · Edward Grefenstette · Tim Rocktaeschel
Workshop
Fri Apr 29 02:00 AM -- 11:30 AM (PDT)
AfricaNLP 2022: NLP for African languages
David Adelani · Angela Fan · Jade Abbott · Perez Ogayo · Hady Elsahar · Salomey Osei · Mohamed Ahmed · Constantine Lignos · shamsuddeen muhammad
Workshop
Fri Apr 29 03:00 AM -- 01:20 PM (PDT)
Wiki-M3L: Wikipedia and Multimodal & Multilingual Research
Miriam Redi · Yannis Kalantidis · Krishna Srinivasan · Yacine Jernite · Tiziano Piccardi · Diane Larlus · Stéphane Clinchant · Lucie-Aimée Kaffee
Workshop
Fri Apr 29 05:00 AM -- 02:00 PM (PDT)
Geometrical and Topological Representation Learning
Alexander Cloninger · Manohar Kaul · Ira Ktena · Nina Miolane · Bastian Rieck · Guy Wolf
Workshop
Fri Apr 29 05:00 AM -- 03:00 PM (PDT)
Gamification and Multiagent Solutions
Andrea Tacchetti · Ian Gemp · Elise van der Pol · Arash Mehrjou · Satpreet H Singh · Noah Golowich · Sarah Perrin · Nina Vesseron
Workshop
Fri Apr 29 05:00 AM -- 02:00 PM (PDT)
Emergent Communication: New Frontiers
Mikhail Noukhovitch · Roberto Dessi · Agnieszka Słowik · Kevin Denamganai · Niko Grupen · Mathieu Rita · Florian Strub
Workshop
Fri Apr 29 05:00 AM -- 03:35 PM (PDT)
Setting up ML Evaluation Standards to Accelerate Progress
Rishabh Agarwal · Stephanie Chan · Xavier Bouthillier · Caglar Gulcehre · Jesse Dodge
Workshop
Fri Apr 29 05:00 AM -- 03:05 PM (PDT)
From Cells to Societies: Collective Learning Across Scales
Jan Feyereisl · Olga Afanasjeva · Jitka Cejkova · Martin Poliak · Mark Sandler · Max Vladymyrov
Workshop
Fri Apr 29 05:00 AM -- 02:15 PM (PDT)
Deep Learning for Code
Torsten Scholak · Gabriel Orlanski · Disha Shrivastava · Arun Raja · Dzmitry Bahdanau · Jonathan Herzig
Workshop
Fri Apr 29 05:45 AM -- 03:00 PM (PDT)
Socially Responsible Machine Learning
Chaowei Xiao · Huan Zhang · Xueru Zhang · Hongyang Zhang · Cihang Xie · Beidi Chen · Xinchen Yan · Yuke Zhu · Bo Li · Zico Kolter · Dawn Song · Anima Anandkumar
Workshop
Fri Apr 29 05:45 AM -- 02:30 PM (PDT)
GroundedML: Anchoring Machine Learning in Classical Algorithmic Theory
Perouz Taslakian · Pierre-André Noël · David Vazquez · Jian Tang · Xavier Bresson
Workshop
Fri Apr 29 06:00 AM -- 12:50 PM (PDT)
Deep Generative Models for Highly Structured Data
Yuanqi Du · Adji Dieng · Yoon Kim · Rianne van den Berg · Yoshua Bengio
Workshop
Fri Apr 29 06:00 AM -- 03:00 PM (PDT)
Deep Learning on Graphs for Natural Language Processing
Lingfei Wu · Bang Liu · Rada Mihalcea · Jian Pei · Yue Zhang · Yunyao Li
Workshop
Fri Apr 29 06:00 AM -- 12:45 PM (PDT)
3rd Workshop on practical ML for Developing Countries: learning under limited/low resource scenarios
Esube Bekele · Celia Cintas · Timnit Gebru · Judy Gichoya · Meareg Hailemariam · Waheeda Saib · Girmaw Abebe Tadesse
Workshop
Fri Apr 29 06:00 AM -- 02:30 PM (PDT)
Machine Learning for Drug Discovery (MLDD)
Pascal Notin · Stefan Bauer · Andrew Jesson · Yarin Gal · Patrick Schwab · Debora Marks · Sonali Parbhoo · Ece Ozkan · Clare Lyle · Ashkan Soleymani · Júlia Domingo · Arash Mehrjou · Melanie Fernandez Pradier · Anna Bauer-Mehren · Max Shen
Workshop
Fri Apr 29 08:00 AM -- 02:00 PM (PDT)
CoSubmitting Summer (CSS) Workshop
Rosanne Liu · Krystal Maughan · Thomas F Burns · Ching Lam Choi · Arun Raja
Workshop
Fri Apr 29 08:00 AM -- 06:30 PM (PDT)
Generalizable Policy Learning in the Physical World
Young Min Kim · Sergey Levine · Ming Lin · Tongzhou Mu · Ashvin Nair · Hao Su
Workshop
Fri Apr 29 08:00 AM -- 04:35 PM (PDT)
AI for Earth and Space Science
Natasha Dudek · Karianne Bergen · Stewart Jamieson · Valentin Tertius Bickel · Will Chapman · Johanna Hansen
Workshop
Fri Apr 29 09:00 AM -- 06:00 PM (PDT)
PAIR^2Struct: Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data
Hao Wang · Wanyu LIN · Hao He · Di Wang · Chengzhi Mao · Muhan Zhang