| 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 |
| SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation | Oct 23, 2021 | Few-Shot LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Delving Deep into the Generalization of Vision Transformers under Distribution Shifts | Jun 14, 2021 | Out-of-Distribution GeneralizationSelf-Supervised Learning | CodeCode Available | 1 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization | Jan 9, 2023 | Combinatorial OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Designing Network Design Spaces | Mar 30, 2020 | Image ClassificationOut-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 |
| 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 |
| Deep Stable Learning for Out-Of-Distribution Generalization | Apr 16, 2021 | Domain GeneralizationOut-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 |
