| Transferability of Compositionality | Jan 1, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Out-of-Distribution Classification and Clustering | Jan 1, 2021 | ClassificationClustering | —Unverified | 0 |
| Invariant Causal Representation Learning | Jan 1, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| Unshuffling Data for Improved Generalization in Visual Question Answering | Jan 1, 2021 | Out-of-Distribution GeneralizationQuestion Answering | —Unverified | 0 |
| Iterative VAE as a predictive brain model for out-of-distribution generalization | Dec 1, 2020 | Out-of-Distribution Generalization | —Unverified | 0 |
| Modular Action Concept Grounding in Semantic Video Prediction | Nov 23, 2020 | Action RecognitionMixture-of-Experts | —Unverified | 0 |
| An Effective Anti-Aliasing Approach for Residual Networks | Nov 20, 2020 | Few-Shot Learningimage-classification | —Unverified | 0 |
| Probing Predictions on OOD Images via Nearest Categories | Nov 17, 2020 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 |
| Increasing Robustness to Spurious Correlations using Forgettable Examples | Nov 16, 2020 | Out-of-Distribution GeneralizationQQP | —Unverified | 0 |
| The Risks of Invariant Risk Minimization | Oct 12, 2020 | Out-of-Distribution Generalization | —Unverified | 0 |
