subpopulation shift

Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection AAAI 2026 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift ICML 2025 Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions ICLR 2025 Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts NeurIPS 2024 Learning Where to Edit Vision Transformers NeurIPS 2024 Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations ICML 2023 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023 Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization NeurIPS 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NeurIPS 2022 A Theory of Label Propagation for Subpopulation Shift ICML 2021 BREEDS: Benchmarks for Subpopulation Shift ICLR 2021 Does enforcing fairness mitigate biases caused by subpopulation shift? NeurIPS 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021