| Generative Interventions for Causal Learning | Dec 22, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Gradient Starvation: A Learning Proclivity in Neural Networks | Nov 18, 2020 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| Understanding the Failure Modes of Out-of-Distribution Generalization | Oct 29, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model | Oct 25, 2020 | Amodal Instance SegmentationInstance Segmentation | CodeCode Available | 1 |
| Representation Learning via Invariant Causal Mechanisms | Oct 15, 2020 | Contrastive LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 |
| MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering | Sep 18, 2020 | Out-of-Distribution GeneralizationQuestion Answering | CodeCode Available | 1 |
| Synbols: Probing Learning Algorithms with Synthetic Datasets | Sep 14, 2020 | Active LearningFew-Shot Learning | CodeCode Available | 1 |
