| Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples | Oct 11, 2023 | FairnessOut-of-Distribution Generalization | CodeCode Available | 0 |
| Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding | May 30, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 0 |
| Out-of-Distribution Generalization in Time Series: A Survey | Mar 18, 2025 | Out-of-Distribution GeneralizationRepresentation Learning | CodeCode Available | 0 |
| Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration | Jan 31, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Assessing Generalization in Deep Reinforcement Learning | Oct 29, 2018 | Deep Reinforcement LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering | Mar 22, 2024 | Open-Domain Question AnsweringOut-of-Distribution Generalization | CodeCode Available | 0 |
| Robust Novelty Detection through Style-Conscious Feature Ranking | Oct 5, 2023 | Domain GeneralizationNovelty Detection | CodeCode Available | 0 |
| Subgraph Aggregation for Out-of-Distribution Generalization on Graphs | Oct 29, 2024 | Molecular Property PredictionOut-of-Distribution Generalization | CodeCode Available | 0 |
| Out-of-distribution generalization via composition: a lens through induction heads in Transformers | Aug 18, 2024 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Causal Structural Hypothesis Testing and Data Generation Models | Oct 20, 2022 | Out-of-Distribution Generalization | CodeCode Available | 0 |
