| Generative multitask learning mitigates target-causing confounding | Feb 8, 2022 | Out-of-Distribution GeneralizationRepresentation Learning | CodeCode Available | 0 |
| Uncertainty Modeling for Out-of-Distribution Generalization | Feb 8, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning | Jan 28, 2022 | Out-of-Distribution Generalization | —Unverified | 0 |
| Gradient Masked Averaging for Federated Learning | Jan 28, 2022 | Federated LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Revisiting Weakly Supervised Pre-Training of Visual Perception Models | Jan 20, 2022 | Fine-Grained Image ClassificationImage Classification | CodeCode Available | 1 |
| SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models | Jan 16, 2022 | Out-of-Distribution GeneralizationSemantic Parsing | —Unverified | 0 |
| Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models | Dec 27, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | CodeCode Available | 0 |
| OOD-GNN: Out-of-Distribution Generalized Graph Neural Network | Dec 7, 2021 | Graph Neural NetworkOut-of-Distribution Generalization | —Unverified | 0 |
| An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers | Dec 1, 2021 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Overparameterization Improves Robustness to Covariate Shift in High Dimensions | Dec 1, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | —Unverified | 0 |
