| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability | Jul 6, 2023 | Few-Shot Image ClassificationImage Classification | CodeCode Available | 1 | 5 |
| Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization | Nov 20, 2019 | Domain GeneralizationNatural Language Inference | CodeCode Available | 1 | 5 |
| BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization | Jan 9, 2023 | Combinatorial OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization | Aug 6, 2022 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization | Feb 14, 2022 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Causal Transportability for Visual Recognition | Apr 26, 2022 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes | Jun 21, 2024 | ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 | 5 |
| Collaboration! Towards Robust Neural Methods for Routing Problems | Oct 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 | 5 |
