| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment | Oct 3, 2024 | Image Quality AssessmentOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 | 5 |
| Contextual Vision Transformers for Robust Representation Learning | May 30, 2023 | In-Context LearningOut-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 |
| Learning from Failure: Training Debiased Classifier from Biased Classifier | Jul 6, 2020 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 | 5 |
| Discover and Mitigate Unknown Biases with Debiasing Alternate Networks | Jul 20, 2022 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 | 5 |
| Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks | Jun 4, 2024 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization | Dec 18, 2023 | Graph Representation LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark | Sep 2, 2024 | ARCOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
