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Partial-Multi-Label-Learning

A curated list of resources for Partial-Multi-Label-Learning

Papers & Code

Awesome Noisy Long-Tailed Learning

2018&2019

Title Venue Year Code
Partial Multi-Label Learning AAAI 2018 -
Feature-induced Partial Multi-label Learning ICDM 2018 -
Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 -
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition AAAI 2019 -
Discriminatively relabel for partial multi-label learning ICDM 2019 -

2020

Title Venue Year Code
Partial Multi-Label Learning with Label Distribution AAAI 2020 Code
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism KDD 2020 -
Partial Multi-Label Learning via Multi-Subspace Representation IJCAI 2020 Code
Multi-View Partial Multi-label Learning with Graph-based Disambiguation AAAI 2020 Code
Partial Multi-label Learning using Label Compression ICDM 2020 -
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning IJCAI 2020 -
Semi-Supervised Partial Multi-Label Learning ICDM 2020 -
Partial Multi-label Learning with Label and Feature Collaboration DASFAA 2020 -

2021

Title Venue Year Code
Adversarial Partial Multi-Label Learning with Label Disambiguation AAAI 2021 -
Partial Multi-Label Learning via Credible Label Elicitation TPAMI 2021 Code
Progressive Enhancement of Label Distributions for Partial Multilabel Learning TNNLS 2021 -
Understanding Partial Multi-label Learning via Mutual Information NeurIPS 2021 -
Semi-supervised partial multi-label classification with low-rank and manifold constraints PRL 2021 -
Noisy label tolerance: A new perspective of Partial Multi-Label Learning IS 2021 -
Partial multi-label learning with noisy side information KIS 2021 -
Partial multi-label learning with mutual teaching KBS 2021 -
Partial Multi-Label Learning with Meta Disambiguation KDD 2021 -
Partial Multi-Label Optimal Margin Distribution Machine IJCAI 2021 -

2022

Title Venue Year Code
Partial multi-label learning via specific label disambiguation KBS 2022 -
Graph-based Multi-view Partial Multi-label Learning PAAP 2022 -
Partial multi-label learning based on sparse asymmetric label correlations KBS 2022 -
Partial Multi-Label Feature Selection IJCNN 2022 -
Global-Local Label Correlation for Partial Multi-Label Learning TMM 2022 -
Partial Multi-Label Learning With Noisy Label Identification TPAMI 2022 Code
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise TPAMI 2022 Code
Semi-supervised partial multi-label classification via consistency learning PR 2022 -
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022 -
A Deep Model for Partial Multi-label Image Classification with Curriculum Based Disambiguation MIR 2022 Code

2023

Title Venue Year Code
Landmark-based Partial Multi-label Learning with Noise Processing IJCNN 2023 -
Learning Accurate Label-Specific Features From Partially Multilabeled Data TNNLS 2023 -
Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition AI 2023 -
Towards Enabling Binary Decomposition for Partial Multi-Label Learning TPAMI 2023 Code
Dual Noise Elimination And Dynamic Label Correlation Guided Partial Multi-label Learning TMM 2023 -
Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement TKDE 2023 -
ProPML: Probability Partial Multi-label Learning DSAA 2023 -
Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning TCYB 2023 -
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation NeurIPS 2023 Code
Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition AI 2023 -
Partial multi-label feature selection via subspace optimization IS 2023 -
Partial multi-label learning: exploration of binary ground-truth labels ICME 2023 -
Partial multi-label learning via three-way decision-based tri-training KBS 2023 -
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification Arxiv 2023 -
Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 -
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine TFS 2023 -

2024

Title Venue Year Code
A two-stage multi-view partial multi-label learning for enhanced disambiguation KBS 2024 -
Partial multi-label learning via semi-supervised subspace collaboration KBS 2024 -
Partial multi-label learning via robust feature selection and relevance fusion optimization KBS 2024 -
Learning shared and non-redundant label-specific features for partial multi-label classification IS 2024 -
PML-ED: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation IS 2024 -
Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction TNNLS 2024 Code
Few-shot partial multi-label learning with synthetic features network KIS 2024 -
Negative Label and Noise Information Guided Disambiguation for Partial Multi-Label Learning TMM 2024 Code
Noisy Label Removal for Partial Multi-Label Learning KDD 2024 Code
Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization IF 2024 -
Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance ACM MM 2024 -
Partial multi-label feature selection via low-rank and sparse factorization with manifold learning KBS 2024 -
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 -
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024
UNM: A Universal Approach for Noisy Multi-Label Learning TKDE 2024 -
A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation MIR 2024 -
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 -

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