{"total":18,"rows":[{"id":"2212.08380","title":"Instance-dependent Label Distribution Estimation for Learning with Label Noise","created":"2022-12-16","cited_by_count":10,"area":null},{"id":"2305.13764","title":"Mitigating Label Noise through Data Ambiguation","created":"2023-05-23","cited_by_count":10,"area":null},{"id":"2309.00894","title":"Regularly Truncated M-estimators for Learning with Noisy Labels","created":"2023-09-02","cited_by_count":8,"area":null},{"id":"2305.12961","title":"Enhanced Meta Label Correction for Coping with Label Corruption","created":"2023-05-22","cited_by_count":6,"area":null},{"id":"2509.11265","title":"SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing","created":"2025-09-14","cited_by_count":5,"area":null},{"id":"2305.19486","title":"Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2408.05151","title":"Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification","created":"2024-08-09","cited_by_count":4,"area":null},{"id":"2502.17771","title":"Sample Selection via Contrastive Fragmentation for Noisy Label Regression","created":"2025-02-25","cited_by_count":4,"area":null},{"id":"2508.17232","title":"Curvature Learning for Generalization of Hyperbolic Neural Networks","created":"2025-08-24","cited_by_count":4,"area":null},{"id":"2306.11911","title":"LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration","created":"2023-06-20","cited_by_count":2,"area":null},{"id":"2504.02996","title":"Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2312.00827","title":"A Unified Framework for Connecting Noise Modeling to Boost Noise Detection","created":"2023-11-30","cited_by_count":0,"area":null},{"id":"2411.19581","title":"In-Context Learning with Noisy Labels","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2502.16104","title":"Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning","created":"2025-02-22","cited_by_count":0,"area":null},{"id":"2512.04319","title":"MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2603.13894","title":"Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2603.17255","title":"Variational Rectification Inference for Learning with Noisy Labels","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2607.16293","title":"SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label Transition","created":"2026-07-13","cited_by_count":0,"area":null}],"next_cursor":null}