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| 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 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-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 |
| CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes | Jun 21, 2024 | ClassificationOut-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 |
| Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs | Dec 31, 2023 | Image ClassificationKnowledge Graphs | CodeCode Available | 1 |
| Broken Neural Scaling Laws | Oct 26, 2022 | Adversarial RobustnessContinual Learning | CodeCode Available | 1 |
| Collaboration! Towards Robust Neural Methods for Routing Problems | Oct 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| Causal Transportability for Visual Recognition | Apr 26, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
