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18 Results

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Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Poster
Wed 17:00 On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih · Arjun Sawhney · Jovana Kondic · Stefano Ermon · Dorsa Sadigh
Workshop
Fri 16:00 Kenji Doya, OIST: What can we learn from the brain for future AI?
Kenji Doya · Shinji Nishimoto
Poster
Wed 9:00 SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang · Jianfeng Wang · Lijuan Wang · Lei Zhang · 'YZ' Yezhou Yang · Zicheng Liu
Poster
Wed 9:00 Graph Information Bottleneck for Subgraph Recognition
Junchi Yu · Tingyang Xu · Yu Rong · Yatao Bian · Junzhou Huang · Ran He
Workshop
Fri 2:30 Science and Engineering of Deep Learning
Levent Sagun · Caglar Gulcehre · Adriana Romero-Soriano · Negar Rostamzadeh · Stefano Sarao Mannelli · Lenka Zdeborova · Samy Bengio
Poster
Mon 1:00 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Jiawang Bai · Baoyuan Wu · Yong Zhang · Yiming Li · Zhifeng Li · Shu-Tao Xia
Poster
Wed 17:00 Estimating Lipschitz constants of monotone deep equilibrium models
Chirag Pabbaraju · Ezra Winston · Zico Kolter
Poster
Mon 9:00 What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
Kiana Ehsani · Daniel Gordon · Thomas H Nguyen · Roozbeh Mottaghi · Ali Farhadi
Poster
Thu 17:00 Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
Juntae Lee · Mihir Jain · Hyoungwoo Park · Sungrack Yun
Workshop
Fri 10:00 Panel: Values in science and engineering of ML research
Danielle Belgrave · Meredith Broussard · Silvia Chiappa · Jonathan Frankle · Sandra Wachter · Shakir Mohamed · Emily Dinan
Workshop
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim