| 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 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Causal Transportability for Visual Recognition | Apr 26, 2022 | image-classificationImage 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 |
| 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 |
| Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift | Nov 5, 2022 | Data AugmentationGraph Classification | CodeCode Available | 1 |
| Geometric Deep Learning for Structure-Based Drug Design: A Survey | Jun 20, 2023 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes | Jun 21, 2024 | ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
