| 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 |
