| 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 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-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 |
| Diverse Weight Averaging for Out-of-Distribution Generalization | May 19, 2022 | DiversityOut-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 |
| Improving out-of-distribution generalization in graphs via hierarchical semantic environments | Mar 4, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design | Jul 16, 2024 | Drug DiscoveryOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Contextual Vision Transformers for Robust Representation Learning | May 30, 2023 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| 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 | 5 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
