| Towards Robust Waveform-Based Acoustic Models | Oct 16, 2021 | Data AugmentationInductive Bias | —Unverified | 0 |
| 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 |
| Compositional generalization in semantic parsing with pretrained transformers | Sep 30, 2021 | Out-of-Distribution GeneralizationSemantic Parsing | CodeCode Available | 0 |
| Invariant Causal Representation Learning for Out-of-Distribution Generalization | Sep 29, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs | Sep 29, 2021 | Domain GeneralizationGraph Classification | —Unverified | 0 |
| An Empirical Study of Pre-trained Models on Out-of-distribution Generalization | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| BLOOD: Bi-level Learning Framework for Out-of-distribution Generalization | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 |
| Brain insights improve RNNs' accuracy and robustness for hierarchical control of continually learned autonomous motor motifs | Sep 29, 2021 | Continual LearningInductive Bias | —Unverified | 0 |
| Domain-wise Adversarial Training for Out-of-Distribution Generalization | Sep 29, 2021 | DiversityOut-of-Distribution Generalization | —Unverified | 0 |
| 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 |
| MixStyle Neural Networks for Domain Generalization and Adaptation | Jul 5, 2021 | Data AugmentationDomain Adaptation | —Unverified | 0 |
| Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations | Jun 29, 2021 | Out-of-Distribution GeneralizationX-ray Classification | CodeCode Available | 0 |
| Adversarial Invariant Learning | Jun 19, 2021 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Representation Learning for Out-of-distribution Generalization in Reinforcement Learning | Jun 13, 2021 | Out-of-Distribution Generalizationreinforcement-learning | —Unverified | 0 |
| Robust Representation Learning via Perceptual Similarity Metrics | Jun 11, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
