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11 Results
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Poster
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Mon 9:00 |
The Risks of Invariant Risk Minimization Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski |
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Poster
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Wed 17:00 |
Emergent Symbols through Binding in External Memory Taylor Webb · Ishan Sinha · Jonathan Cohen |
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Spotlight
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Wed 19:35 |
Emergent Symbols through Binding in External Memory Taylor Webb · Ishan Sinha · Jonathan Cohen |
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Poster
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Wed 1:00 |
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon |
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Poster
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Mon 9:00 |
Understanding the failure modes of out-of-distribution generalization Vaishnavh Nagarajan · Anders J Andreassen · Behnam Neyshabur |
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Poster
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Tue 9:00 |
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag · Mung Chiang · Prateek Mittal |
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Poster
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Tue 1:00 |
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood · Junier Oliva · Martin A Styner |
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Poster
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Wed 17:00 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang |
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Poster
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Tue 17:00 |
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka |
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Oral
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Mon 21:21 |
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka |
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Workshop
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Fri 7:00 |
Generalization beyond the training distribution in brains and machines Christina Funke · Judith Borowski · Drew Linsley · Xavier Boix |