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Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Poster
Tue 9:00 SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag · Mung Chiang · Prateek Mittal
Poster
Tue 1:00 Multiscale Score Matching for Out-of-Distribution Detection
Ahsan Mahmood · Junier Oliva · Martin A Styner
Poster
Mon 9:00 The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Workshop
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers
Clayton C Ashcraft
Poster
Wed 9:00 Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
Poster
Wed 9:00 Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter
Poster
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
Oral
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
Poster
Wed 17:00 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei · Doyen Sahoo · Steven HOI
Poster
Thu 9:00 Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
Oral
Mon 11:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama