| 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 |
| Contextual Vision Transformers for Robust Representation Learning | May 30, 2023 | In-Context LearningOut-of-Distribution Generalization | 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 |
| Generative Interventions for Causal Learning | Dec 22, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Collaboration! Towards Robust Neural Methods for Routing Problems | Oct 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 |
| Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design | Jul 16, 2024 | Drug DiscoveryOut-of-Distribution Generalization | CodeCode Available | 1 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | 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 |
| Designing Network Design Spaces | Mar 30, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
