| Case-based Reasoning for Better Generalization in Textual Reinforcement Learning | Oct 16, 2021 | Deep Reinforcement LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI | Oct 12, 2021 | Few-Shot LearningFew-Shot NLI | CodeCode Available | 0 |
| The Connection between Out-of-Distribution Generalization and Privacy of ML Models | Oct 7, 2021 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Compositional generalization in semantic parsing with pretrained transformers | Sep 30, 2021 | Out-of-Distribution GeneralizationSemantic Parsing | CodeCode Available | 0 |
| BLOOD: Bi-level Learning Framework for Out-of-distribution Generalization | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| An Empirical Study of Pre-trained Models on Out-of-distribution Generalization | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Domain-wise Adversarial Training for Out-of-Distribution Generalization | Sep 29, 2021 | DiversityOut-of-Distribution Generalization | —Unverified | 0 |
| Transformers are Meta-Reinforcement Learners | Sep 29, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Invariant Causal Representation Learning for Out-of-Distribution Generalization | Sep 29, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
