{"total":26,"rows":[{"id":"2303.05033","title":"Out-of-distribution Detection with Implicit Outlier Transformation","created":"2023-03-09","cited_by_count":43,"area":null},{"id":"2402.03502","title":"How Does Unlabeled Data Provably Help Out-of-Distribution Detection?","created":"2024-02-05","cited_by_count":36,"area":null},{"id":"2406.00806","title":"Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection","created":"2024-06-02","cited_by_count":32,"area":null},{"id":"2311.03236","title":"Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources","created":"2023-11-06","cited_by_count":31,"area":null},{"id":"2303.13087","title":"Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization","created":"2023-03-23","cited_by_count":29,"area":null},{"id":"2404.15882","title":"Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains","created":"2024-04-24","cited_by_count":22,"area":null},{"id":"2310.16412","title":"FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning","created":"2023-10-25","cited_by_count":20,"area":null},{"id":"2406.03150","title":"Sample-specific Masks for Visual Reprogramming-based Prompting","created":"2024-06-05","cited_by_count":18,"area":null},{"id":"2301.12386","title":"Plugin estimators for selective classification with out-of-distribution detection","created":"2023-01-29","cited_by_count":14,"area":null},{"id":"2310.16391","title":"Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2410.24018","title":"Bayesian-guided Label Mapping for Visual Reprogramming","created":"2024-10-31","cited_by_count":12,"area":null},{"id":"2309.11705","title":"Meta OOD Learning for Continuously Adaptive OOD Detection","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2304.13976","title":"Moderately Distributional Exploration for Domain Generalization","created":"2023-04-27","cited_by_count":8,"area":null},{"id":"2404.00323","title":"CLIP-driven Outliers Synthesis for few-shot OOD detection","created":"2024-03-30","cited_by_count":6,"area":null},{"id":"2405.18635","title":"When and How Does In-Distribution Label Help Out-of-Distribution Detection?","created":"2024-05-28","cited_by_count":6,"area":null},{"id":"2410.18472","title":"What If the Input is Expanded in OOD Detection?","created":"2024-10-24","cited_by_count":4,"area":null},{"id":"2407.21742","title":"HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection","created":"2024-07-31","cited_by_count":3,"area":null},{"id":"2403.06569","title":"Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming","created":"2024-03-11","cited_by_count":2,"area":null},{"id":"2407.07135","title":"Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods","created":"2024-07-09","cited_by_count":2,"area":null},{"id":"2510.06505","title":"Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2310.11093","title":"SODA: Robust Training of Test-Time Data Adaptors","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2412.12194","title":"BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2311.07975","title":"Distilling the Unknown to Unveil Certainty","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2403.17755","title":"DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2603.29644","title":"Disentangled Graph Prompting for Out-Of-Distribution Detection","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.09232","title":"Neural Distribution Prior for LiDAR Out-of-Distribution Detection","created":"2026-04-10","cited_by_count":0,"area":null}],"next_cursor":null}