| Supervised Transfer Learning at Scale for Medical Imaging | Jan 14, 2021 | FairnessOut-of-Distribution Generalization | —Unverified | 0 |
| Unshuffling Data for Improved Generalization in Visual Question Answering | Jan 1, 2021 | Out-of-Distribution GeneralizationQuestion Answering | —Unverified | 0 |
| Transferability of Compositionality | Jan 1, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Out-of-Distribution Classification and Clustering | Jan 1, 2021 | ClassificationClustering | —Unverified | 0 |
| Conditional Networks | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Invariant Causal Representation Learning | Jan 1, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| The role of Disentanglement in Generalisation | Jan 1, 2021 | DisentanglementOut-of-Distribution Generalization | CodeCode Available | 1 |
| 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 |
| Iterative VAE as a predictive brain model for out-of-distribution generalization | Dec 1, 2020 | Out-of-Distribution Generalization | —Unverified | 0 |
