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Papers
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty
CVPR 2026
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
AAAI 2025
Fast Multi-Instance Partial-Label Learning
AAAI 2025
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
AAAI 2025
Partial Label Clustering
IJCAI 2025
Pseudo-Label Reconstruction for Partial Multi-Label Learning
IJCAI 2025
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
AAAI 2025
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
UAI 2025
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
IJCAI 2025
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
AAAI 2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 2024
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
ICLR 2024
Disentangled Partial Label Learning
AAAI 2024
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
IJCAI 2024
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
AAAI 2024
Partial Label Learning with a Partner
AAAI 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
CVPR 2024
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
AAAI 2024
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning
ICCV 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
ICML 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
IJCAI 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
ICLR 2023
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage
NeurIPS 2023
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
NeurIPS 2023