{"total":29,"rows":[{"id":"2106.05731","title":"Leveraged Weighted Loss for Partial Label Learning","created":"2021-06-10","cited_by_count":66,"area":null},{"id":"2110.12911","title":"Instance-Dependent Partial Label Learning","created":"2021-10-25","cited_by_count":49,"area":null},{"id":"2209.10365","title":"SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning","created":"2022-09-21","cited_by_count":31,"area":null},{"id":"2302.05080","title":"Long-Tailed Partial Label Learning via Dynamic Rebalancing","created":"2023-02-10","cited_by_count":22,"area":null},{"id":"2201.08984","title":"PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning","created":"2022-01-22","cited_by_count":21,"area":null},{"id":"2106.06152","title":"On the Robustness of Average Losses for Partial-Label Learning","created":"2021-06-11","cited_by_count":20,"area":null},{"id":"2502.10184","title":"Realistic Evaluation of Deep Partial-Label Learning Algorithms","created":"2025-02-14","cited_by_count":12,"area":null},{"id":"2303.10365","title":"CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning","created":"2023-03-18","cited_by_count":11,"area":null},{"id":"2305.06080","title":"Towards Effective Visual Representations for Partial-Label Learning","created":"2023-05-10","cited_by_count":11,"area":null},{"id":"2211.13655","title":"Learning with Partial Labels from Semi-supervised Perspective","created":"2022-11-24","cited_by_count":9,"area":null},{"id":"2301.12077","title":"ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning","created":"2023-01-28","cited_by_count":9,"area":null},{"id":"2305.09035","title":"Algorithmic Censoring in Dynamic Learning Systems","created":"2023-05-15","cited_by_count":5,"area":null},{"id":"2211.04774","title":"IRNet: Iterative Refinement Network for Noisy Partial Label Learning","created":"2022-11-09","cited_by_count":3,"area":null},{"id":"2302.09891","title":"Unreliable Partial Label Learning with Recursive Separation","created":"2023-02-20","cited_by_count":3,"area":null},{"id":"2306.08968","title":"Partial-Label Regression","created":"2023-06-15","cited_by_count":3,"area":null},{"id":"2210.11194","title":"Controller-Guided Partial Label Consistency Regularization with Unlabeled Data","created":"2022-10-20","cited_by_count":2,"area":null},{"id":"2308.16718","title":"Robust Representation Learning for Unreliable Partial Label Learning","created":"2023-08-31","cited_by_count":2,"area":null},{"id":"2506.05027","title":"Tuning the Right Foundation Models is What you Need for Partial Label Learning","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2208.09931","title":"ProPaLL: Probabilistic Partial Label Learning","created":"2022-08-21","cited_by_count":1,"area":null},{"id":"2402.04835","title":"Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2505.22028","title":"Weakly-Supervised Contrastive Learning for Imprecise Class Labels","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2204.03845","title":"Decompositional Generation Process for Instance-Dependent Partial Label Learning","created":"2022-04-08","cited_by_count":0,"area":null},{"id":"2407.15036","title":"AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning","created":"2024-07-21","cited_by_count":0,"area":null},{"id":"2409.19600","title":"An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes","created":"2024-09-29","cited_by_count":0,"area":null},{"id":"2410.20797","title":"Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning","created":"2024-10-28","cited_by_count":0,"area":null},{"id":"2505.03207","title":"Partial Label Clustering","created":"2025-05-06","cited_by_count":0,"area":null},{"id":"2603.04825","title":"Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2608.05460","title":"A proximal subgradient method for nonconvex stochastic optimization under the Kurdyka-{\\L}ojasiewicz condition","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.06896","title":"Recent advances in weakly supervised learning: New supervision paradigms, assumption relaxations, and practical solutions","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}