candidate label

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 Partial-Label Learning with Conformal Candidate Cleaning UAI 2025 SURE: Mutually Visible Objects and Self-generated Candidate Labels For Relation Extraction COLING 2025 Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning ICLR 2024 Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation AAAI 2024 Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes AAAI 2024 ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning NeurIPS 2023 Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning ICCV 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023 Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding AAAI 2023 Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage NeurIPS 2023 Partial-Label Regression AAAI 2023 Progressive Purification for Instance-Dependent Partial Label Learning ICML 2023 Multi-level Generative Models for Partial Label Learning with Non-random Label Noise IJCAI 2021 Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation AAAI 2020 Provably Consistent Partial-Label Learning NeurIPS 2020 Partial Label Learning with Unlabeled Data IJCAI 2019 Leveraging Latent Label Distributions for Partial Label Learning IJCAI 2018 Towards Enabling Binary Decomposition for Partial Label Learning IJCAI 2018