| Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Transformers are Meta-Reinforcement Learners | Sep 29, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Adaptive Pseudo-labeling for Quantum Calculations | Sep 24, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Target Languages (vs. Inductive Biases) for Learning to Act and Plan | Sep 15, 2021 | Combinatorial OptimizationDeep Reinforcement Learning | —Unverified | 0 |
| How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? | Sep 3, 2021 | HippocampusImage Segmentation | CodeCode Available | 0 |
| Towards Out-Of-Distribution Generalization: A Survey | Aug 31, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification | Aug 16, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP | Aug 5, 2021 | Document ClassificationOut-of-Distribution Generalization | —Unverified | 0 |
| X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering | Jul 24, 2021 | AttributeOut-of-Distribution Generalization | CodeCode Available | 0 |
| Generalization of graph network inferences in higher-order graphical models | Jul 12, 2021 | Graph Neural NetworkOut-of-Distribution Generalization | —Unverified | 0 |