| Deep Stable Learning for Out-Of-Distribution Generalization | Apr 16, 2021 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Delving Deep into the Generalization of Vision Transformers under Distribution Shifts | Jun 14, 2021 | Out-of-Distribution GeneralizationSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 | 5 |
| Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift | Nov 5, 2022 | Data AugmentationGraph Classification | CodeCode Available | 1 | 5 |
| Geometric Deep Learning for Structure-Based Drug Design: A Survey | Jun 20, 2023 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Collaboration! Towards Robust Neural Methods for Routing Problems | Oct 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations | Jul 4, 2022 | NeRFNovel View Synthesis | CodeCode Available | 1 | 5 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 | 5 |
