{"total":22,"rows":[{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802,"area":null},{"id":"2203.02194","title":"Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection","created":"2022-03-04","cited_by_count":59,"area":null},{"id":"2206.09880","title":"Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities","created":"2022-06-20","cited_by_count":23,"area":null},{"id":"2208.13722","title":"Open-Set Semi-Supervised Object Detection","created":"2022-08-29","cited_by_count":17,"area":null},{"id":"2302.04002","title":"The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition","created":"2023-02-08","cited_by_count":16,"area":null},{"id":"2310.02832","title":"Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness","created":"2023-10-04","cited_by_count":15,"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":"2507.01831","title":"Out-of-Distribution Detection Methods Answer the Wrong Questions","created":"2025-07-02","cited_by_count":14,"area":null},{"id":"2304.04906","title":"Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing","created":"2023-04-11","cited_by_count":7,"area":null},{"id":"2201.09352","title":"Out of Distribution Detection on ImageNet-O","created":"2022-01-23","cited_by_count":5,"area":null},{"id":"2410.21346","title":"Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2510.21332","title":"Weak-to-Strong Generalization under Distribution Shifts","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2304.13616","title":"CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing","created":"2023-04-26","cited_by_count":3,"area":null},{"id":"2307.13885","title":"Characterizing Data Point Vulnerability via Average-Case Robustness","created":"2023-07-26","cited_by_count":3,"area":null},{"id":"2410.09399","title":"Text Classification using Graph Convolutional Networks: A Comprehensive Survey","created":"2024-10-12","cited_by_count":1,"area":null},{"id":"2512.08216","title":"Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2305.12238","title":"Low-Entropy Latent Variables Hurt Out-of-Distribution Performance","created":"2023-05-20","cited_by_count":0,"area":null},{"id":"2307.01325","title":"Robust Uncertainty Estimation for Classification of Maritime Objects","created":"2023-07-03","cited_by_count":0,"area":null},{"id":"2311.09004","title":"Incremental Object-Based Novelty Detection with Feedback Loop","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2412.03058","title":"Revisiting Energy-Based Model for Out-of-Distribution Detection","created":"2024-12-04","cited_by_count":0,"area":null},{"id":"2506.22726","title":"XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2509.17034","title":"Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning","created":"2025-09-21","cited_by_count":0,"area":null}],"next_cursor":null}