{"total":26,"rows":[{"id":"2402.10099","title":"Any-Shift Prompting for Generalization over Distributions","created":"2024-02-15","cited_by_count":24,"area":null},{"id":"2305.06024","title":"A Survey on the Robustness of Computer Vision Models against Common Corruptions","created":"2023-05-10","cited_by_count":21,"area":null},{"id":"2310.12964","title":"PAC Prediction Sets Under Label Shift","created":"2023-10-19","cited_by_count":21,"area":null},{"id":"2305.15640","title":"Characterizing Out-of-Distribution Error via Optimal Transport","created":"2023-05-25","cited_by_count":20,"area":null},{"id":"2306.00312","title":"(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy","created":"2023-06-01","cited_by_count":16,"area":null},{"id":"2507.21160","title":"Handling Out-of-Distribution Data: A Survey","created":"2025-07-25","cited_by_count":14,"area":null},{"id":"2305.19570","title":"Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms","created":"2023-05-31","cited_by_count":11,"area":null},{"id":"2305.16817","title":"Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup","created":"2023-05-26","cited_by_count":8,"area":null},{"id":"2404.01336","title":"FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection","created":"2024-03-30","cited_by_count":6,"area":null},{"id":"2411.19923","title":"Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders","created":"2024-11-29","cited_by_count":5,"area":null},{"id":"2507.10425","title":"Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data","created":"2025-07-14","cited_by_count":5,"area":null},{"id":"2310.08677","title":"GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts","created":"2023-10-12","cited_by_count":4,"area":null},{"id":"2305.18458","title":"CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift","created":"2023-05-29","cited_by_count":3,"area":null},{"id":"2502.12195","title":"GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts","created":"2025-02-15","cited_by_count":2,"area":null},{"id":"2504.07261","title":"Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach","created":"2025-04-09","cited_by_count":2,"area":null},{"id":"2508.05182","title":"SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2402.03545","title":"Online Feature Updates Improve Online (Generalized) Label Shift Adaptation","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2408.09157","title":"On the KL-Divergence-based Robust Satisficing Model","created":"2024-08-17","cited_by_count":1,"area":null},{"id":"2502.02544","title":"Addressing Label Shift in Distributed Learning via Entropy Regularization","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2505.16251","title":"Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2510.02956","title":"Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2405.16152","title":"SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors","created":"2024-05-25","cited_by_count":0,"area":null},{"id":"2410.04499","title":"Adjusting Pretrained Backbones for Performativity","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2411.02047","title":"Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2411.15204","title":"Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2606.28416","title":"AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":null}