| Robust Object Detection via Instance-Level Temporal Cycle Confusion | Apr 16, 2021 | Objectobject-detection | CodeCode Available | 1 |
| An Empirical Study of Training Self-Supervised Vision Transformers | Apr 5, 2021 | Out-of-Distribution GeneralizationSelf-Supervised Image Classification | CodeCode Available | 1 |
| Out of Distribution Generalization in Machine Learning | Mar 3, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Linear unit-tests for invariance discovery | Feb 22, 2021 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| The role of Disentanglement in Generalisation | Jan 1, 2021 | DisentanglementOut-of-Distribution Generalization | CodeCode Available | 1 |
| Generative Interventions for Causal Learning | Dec 22, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Gradient Starvation: A Learning Proclivity in Neural Networks | Nov 18, 2020 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| 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 |
| 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 |
| Learning from Failure: Training Debiased Classifier from Biased Classifier | Jul 6, 2020 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 |
| 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 |
| 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 |
| AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty | Dec 5, 2019 | Domain Generalizationimage-classification | CodeCode Available | 1 |
| Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization | Nov 20, 2019 | Domain GeneralizationNatural Language Inference | CodeCode Available | 1 |
