{"total":19,"rows":[{"id":"2108.13624","title":"Towards Out-Of-Distribution Generalization: A Survey","created":"2021-08-31","cited_by_count":436,"area":null},{"id":"2105.03818","title":"Heterogeneous Risk Minimization","created":"2021-05-09","cited_by_count":90,"area":null},{"id":"2108.08993","title":"Distributionally Robust Learning","created":"2021-08-20","cited_by_count":44,"area":null},{"id":"2110.12425","title":"Kernelized Heterogeneous Risk Minimization","created":"2021-10-24","cited_by_count":21,"area":null},{"id":"2106.15791","title":"Distributionally Robust Learning with Stable Adversarial Training","created":"2021-06-30","cited_by_count":14,"area":null},{"id":"2201.06487","title":"Minimax risk classifiers with 0-1 loss","created":"2022-01-17","cited_by_count":9,"area":null},{"id":"2304.13976","title":"Moderately Distributional Exploration for Domain Generalization","created":"2023-04-27","cited_by_count":8,"area":null},{"id":"2507.02288","title":"Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization","created":"2025-07-03","cited_by_count":8,"area":null},{"id":"2307.13943","title":"Topology-aware Robust Optimization for Out-of-distribution Generalization","created":"2023-07-26","cited_by_count":7,"area":null},{"id":"2311.05054","title":"Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications","created":"2023-11-08","cited_by_count":5,"area":null},{"id":"2206.02990","title":"Enhancing Distributional Stability among Sub-populations","created":"2022-06-07","cited_by_count":3,"area":null},{"id":"2310.00027","title":"Out-Of-Domain Unlabeled Data Improves Generalization","created":"2023-09-29","cited_by_count":3,"area":null},{"id":"2311.03055","title":"DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework","created":"2023-11-06","cited_by_count":3,"area":null},{"id":"2502.02710","title":"Achievable distributional robustness when the robust risk is only partially identified","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2502.16870","title":"Distributionally Robust Active Learning for Gaussian Process Regression","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2405.03198","title":"Stability Evaluation via Distributional Perturbation Analysis","created":"2024-05-06","cited_by_count":1,"area":null},{"id":"2301.12698","title":"Robust Meta Learning for Image based tasks","created":"2023-01-30","cited_by_count":0,"area":null},{"id":"2605.10654","title":"Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2609.12225","title":"PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}