| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty | Dec 5, 2019 | Domain Generalizationimage-classification | CodeCode Available | 1 |
| Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift | Nov 5, 2022 | Data AugmentationGraph Classification | CodeCode Available | 1 |
| 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 |
| Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference | Nov 1, 2021 | Adversarial Natural Language InferenceNatural Language Inference | CodeCode Available | 1 |
| Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL | Oct 12, 2022 | Contrastive LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Broken Neural Scaling Laws | Oct 26, 2022 | Adversarial RobustnessContinual Learning | CodeCode Available | 1 |
| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability | Jul 6, 2023 | Few-Shot Image ClassificationImage Classification | CodeCode Available | 1 |
| 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 |
| Geometric Deep Learning for Structure-Based Drug Design: A Survey | Jun 20, 2023 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 |
