{"total":32,"rows":[{"id":"2107.11277","title":"Machine Learning with a Reject Option: A survey","created":"2021-07-23","cited_by_count":109,"area":null},{"id":"2204.08808","title":"SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation","created":"2022-04-19","cited_by_count":87,"area":null},{"id":"2101.05307","title":"Explainability of deep vision-based autonomous driving systems: Review and challenges","created":"2021-01-13","cited_by_count":80,"area":null},{"id":"2303.02970","title":"Rethinking Confidence Calibration for Failure Prediction","created":"2023-03-06","cited_by_count":43,"area":null},{"id":"2303.17093","title":"OpenMix: Exploring Outlier Samples for Misclassification Detection","created":"2023-03-30","cited_by_count":38,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2105.12713","title":"Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving","created":"2021-05-26","cited_by_count":25,"area":null},{"id":"2304.03251","title":"SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation","created":"2023-04-06","cited_by_count":21,"area":null},{"id":"2112.00337","title":"A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks","created":"2021-12-01","cited_by_count":19,"area":null},{"id":"2305.15508","title":"How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks","created":"2023-05-24","cited_by_count":16,"area":null},{"id":"2403.02886","title":"Revisiting Confidence Estimation: Towards Reliable Failure Prediction","created":"2024-03-05","cited_by_count":10,"area":null},{"id":"2403.00543","title":"SURE: SUrvey REcipes for building reliable and robust deep networks","created":"2024-03-01","cited_by_count":8,"area":null},{"id":"2303.05269","title":"Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection","created":"2023-03-09","cited_by_count":7,"area":null},{"id":"2311.02719","title":"Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization","created":"2023-11-05","cited_by_count":7,"area":null},{"id":"2409.04409","title":"Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation","created":"2024-09-06","cited_by_count":6,"area":null},{"id":"2406.19225","title":"ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation","created":"2024-06-27","cited_by_count":5,"area":null},{"id":"2404.13016","title":"Optimizing Calibration by Gaining Aware of Prediction Correctness","created":"2024-04-19","cited_by_count":4,"area":null},{"id":"2302.10303","title":"Interpretable Out-Of-Distribution Detection Using Pattern Identification","created":"2023-01-24","cited_by_count":2,"area":null},{"id":"2305.19498","title":"Perception and Semantic Aware Regularization for Sequential Confidence Calibration","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2312.14996","title":"Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2405.16082","title":"Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets","created":"2024-05-25","cited_by_count":1,"area":null},{"id":"2410.13871","title":"Explaining an image classifier with a generative model conditioned by uncertainty","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2504.07677","title":"Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2505.22843","title":"On the Reliability and Stability of Selective Methods in Malware Classification Tasks","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2110.08265","title":"Knowledge-driven Active Learning","created":"2021-10-15","cited_by_count":0,"area":null},{"id":"2505.18741","title":"MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2511.11934","title":"A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2604.18001","title":"Trustworthy Endoscopic Super-Resolution","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.08574","title":"Post-hoc Selective Classification for Reliable Synthetic Image Detection","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2607.11412","title":"Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.20326","title":"$TCP_\\alpha$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2610.18670","title":"Perception Beyond the Visible: Incompleteness-Aware Scene Understanding for Robot Autonomy","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}