| Understanding the Failure Modes of Out-of-Distribution Generalization | Oct 29, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model | Oct 25, 2020 | Amodal Instance SegmentationInstance Segmentation | CodeCode Available | 1 |
| Representation Learning via Invariant Causal Mechanisms | Oct 15, 2020 | Contrastive LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 |
| The Risks of Invariant Risk Minimization | Oct 12, 2020 | Out-of-Distribution Generalization | —Unverified | 0 |
| Representation learning from videos in-the-wild: An object-centric approach | Oct 6, 2020 | Few-Shot LearningObject | —Unverified | 0 |
| Exchanging Lessons Between Algorithmic Fairness and Domain Generalization | Sep 28, 2020 | Domain GeneralizationFairness | —Unverified | 0 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 |
| MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering | Sep 18, 2020 | Out-of-Distribution GeneralizationQuestion Answering | CodeCode Available | 1 |
| Synbols: Probing Learning Algorithms with Synthetic Datasets | Sep 14, 2020 | Active LearningFew-Shot Learning | CodeCode Available | 1 |
| Robust Reinforcement Learning using Adversarial Populations | Aug 4, 2020 | Out-of-Distribution Generalizationreinforcement-learning | CodeCode Available | 1 |
| When is invariance useful in an Out-of-Distribution Generalization problem ? | Aug 4, 2020 | Out-of-Distribution Generalization | —Unverified | 0 |
| Targeted Data-driven Regularization for Out-of-Distribution Generalization | Aug 1, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 0 |
| Out-of-distribution Generalization via Partial Feature Decorrelation | Jul 30, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Learning from Failure: Training Debiased Classifier from Biased Classifier | Jul 6, 2020 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 |
| Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference | Jul 1, 2020 | DiagnosticNatural Language Inference | —Unverified | 0 |
| Improving robustness against common corruptions by covariate shift adaptation | Jun 30, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization | Jun 29, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 |
| Neural Unsupervised Domain Adaptation in NLP---A Survey | May 31, 2020 | Domain AdaptationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Generative Data Augmentation for Commonsense Reasoning | Apr 24, 2020 | Common Sense ReasoningCoreference Resolution | CodeCode Available | 1 |
| Radon cumulative distribution transform subspace modeling for image classification | Apr 7, 2020 | ClassificationComputational Efficiency | CodeCode Available | 0 |
| Improving out-of-distribution generalization via multi-task self-supervised pretraining | Mar 30, 2020 | Adversarial RobustnessDomain Generalization | —Unverified | 0 |
| Designing Network Design Spaces | Mar 30, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Out-of-Distribution Generalization via Risk Extrapolation (REx) | Mar 2, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Unshuffling Data for Improved Generalization | Feb 27, 2020 | ClusteringData Augmentation | —Unverified | 0 |
