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Poster
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Mon 10:30 |
Illiterate DALL-E Learns to Compose Gautam Singh · Fei Deng · Sungjin Ahn |
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Poster
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Tue 18:30 |
Invariant Causal Representation Learning for Out-of-Distribution Generalization Chaochao Lu · Yuhuai Wu · José Miguel Hernández Lobato · Bernhard Schoelkopf |
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Poster
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Thu 18:30 |
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations Aahlad Puli · Lily Zhang · Eric Oermann · Rajesh Ranganath |
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Poster
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Mon 10:30 |
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn |
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Oral
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Mon 18:15 |
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn |
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Poster
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Tue 2:30 |
Handling Distribution Shifts on Graphs: An Invariance Perspective Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf |
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Poster
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Thu 2:30 |
Uncertainty Modeling for Out-of-Distribution Generalization Xiaotong Li · Yongxing Dai · Yixiao Ge · Jun Liu · Ying Shan · LINGYU DUAN |
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Workshop
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Fri 12:45 |
Distribution-dependent generalization bounds for noisy, iterative learning algorithms Gintare Dziugaite |
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Poster
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Tue 10:30 |
Revisiting flow generative models for Out-of-distribution detection Dihong Jiang · Sun Sun · Yaoliang Yu |
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Poster
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Mon 2:30 |
The Role of Pretrained Representations for the OOD Generalization of RL Agents Frederik Träuble · Andrea Dittadi · Manuel Wuthrich · Felix Widmaier · Peter Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schoelkopf · Stefan Bauer |
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Poster
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Mon 10:30 |
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Câmara Gomes · Florence Alberge · Pierre Duhamel · Pablo Piantanida |
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Poster
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Tue 10:30 |
Leveraging unlabeled data to predict out-of-distribution performance Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi |