| Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation | Oct 2, 2024 | Meta-LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| AHA: Human-Assisted Out-of-Distribution Generalization and Detection | Oct 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 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 |
| Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation | Nov 26, 2019 | Activity RecognitionAttribute | CodeCode Available | 0 |
| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 |
| Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow | Jun 7, 2022 | Out-of-Distribution GeneralizationTransfer Learning | CodeCode Available | 0 |
| Probing Predictions on OOD Images via Nearest Categories | Nov 17, 2020 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 |
| Insect Identification in the Wild: The AMI Dataset | Jun 18, 2024 | Data AugmentationDiversity | CodeCode Available | 0 |
| Towards out of distribution generalization for problems in mechanics | Jun 29, 2022 | Out-of-Distribution Generalizationregression | CodeCode Available | 0 |
| Offline Imitation Learning with Variational Counterfactual Reasoning | Oct 7, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| On Neural Architecture Inductive Biases for Relational Tasks | Jun 9, 2022 | Inductive BiasOut-of-Distribution Generalization | CodeCode Available | 0 |
| On Provable Length and Compositional Generalization | Feb 7, 2024 | DiversityOut-of-Distribution Generalization | CodeCode Available | 0 |
| Adversarial Invariant Learning | Jun 19, 2021 | Domain AdaptationDomain Generalization | CodeCode Available | 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 |
| Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations | Nov 30, 2023 | AttributeOut-of-Distribution Generalization | CodeCode Available | 0 |
| Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation | May 30, 2022 | Data AugmentationImage Segmentation | CodeCode Available | 0 |
| Example-based Hypernetworks for Out-of-Distribution Generalization | Mar 27, 2022 | DecoderDomain Adaptation | CodeCode Available | 0 |
| In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax | Nov 13, 2023 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization | Nov 9, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| On the Out-of-Distribution Generalization of Self-Supervised Learning | May 22, 2025 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 0 |
| SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models | May 15, 2022 | Out-of-Distribution GeneralizationSemantic Parsing | CodeCode Available | 0 |
| When Does Group Invariant Learning Survive Spurious Correlations? | Jun 29, 2022 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations | Jul 18, 2024 | Autonomous DrivingOut-of-Distribution Generalization | CodeCode Available | 0 |
| Simple and Fast Group Robustness by Automatic Feature Reweighting | Jun 19, 2023 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors | Oct 13, 2022 | Out-of-Distribution Generalization | CodeCode Available | 0 |
