Advances-in-Partial-Label-Learning

A list of awesome partial-label learning papers and codes.

[ICCV 2023] Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. [Paper]
[ICCV 2023] Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. [Paper]
[CVPR 2023] Towards Effective Visual Representations for Partial-Label Learning. [Paper]
[CVPR 2023] Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification. [Paper]
[ICML 2023] Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. [Paper]
[IJCAI 2023] Deep Partial Multi-Label Learning with Graph Disambiguation. [Paper]
[IJCAI 2023] Unreliable Partial Label Learning with Recursive Separation. [Paper]
[ICLR 2023] Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. [Paper]
[ICLR 2023] Mutual Partial Label Learning with Competitive Label Noise. [Paper]
[ICLR 2023] Long-Tailed Partial Label Learning via Dynamic Rebalancing. [Paper]
[ICLR 2023] Decompositional Generation Process for Instance-Dependent Partial Label Learning. [Paper]
[AAAI 2023] Can Label-Specific Features Help Partial-Label Learning?. [Paper]
[AAAI 2023] Partial-Label Regression. [Paper]
[AAAI 2023] Learning with Partial Labels from Semi-supervised Perspective. [Paper]

[ICML 2022] Revisiting Consistency Regularization for Deep Partial Label Learning. [Paper]
[ICML 2022] Partial Label Learning via Label Influence Function. [Paper]
[IJCAI 2022] Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. [Paper] [Code]
[IJCAI 2022] Exploring Binary Classifcation Hidden within Partial Label Learning [Paper]
[IJCAI 2022] Deep Graph Matching for Partial Label Learning [Paper]
[IJCAI 2022] Webly-Supervised Fine-Grained Recognition with Partial Label Learning [Paper]
[CVPR 2022] Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss. [Paper] [Code]
[AAAI 2022] Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. [Paper] [Code]
[AAAI 2022] Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. [Paper] [Code]
[AAAI 2022] Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings. [Paper]
[ICLR 2022] PiCO: Contrastive Label Disambiguation for Partial Label Learning. [Paper] [Code]
[ICLR 2022] Exploiting Class Activation Value for Partial-Label Learning. [Paper]
[AISTATS 2022] Learning from Multiple Noisy Partial Labelers. [Paper] [Code]
[KDD 2022] Partial-Label Learning with Semantic Label Representations. [Paper]
[TPAMI 2022] Adaptive graph guided disambiguation for partial label learning. [Paper]
[TKDD 2022] Disambiguation enabled linear discriminant analysis for partial label dimensionality reduction. [Paper]

[NIPS 2021] Instance-Dependent Partial Label Learning. [Paper] [Code]
[NIPS 2021] Understanding Partial Multi-Label Learning via Mutual Information. [Paper]
[IJCAI 2021] Few-Shot Partial-Label Learning. [Paper]
[IJCAI 2021] Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. [Paper]
[IJCAI 2021] Partial Multi-Label Optimal Margin Distribution Machine. [Paper]
[ICML 2021] Leveraged Weighted Loss for Partial Label Learning. [Paper] [Code]
[AAAI 2021] Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning. [Paper]
[ICLR 2021] Towards Impartial Multi-task Learning. [Paper] [Code]

[NIPS 2020] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization. [Paper]
[NIPS 2020] Provably Consistent Partial-Label Learning. [Paper]
[IJCAI 2020] Learning From Multi-Dimensional Partial Labels. [Paper]
[IJCAI 2020] Partial Multi-Label Learning via Multi-Subspace Representation. [Paper]
[ICML 2020] Progressive Identification of True Labels for Partial-Label Learning. [Paper] [Code]
[AAAI 2020] General Partial Label Learning via Dual Bipartite Graph Autoencoder. [Paper]
[AAAI 2020][TPAMI] Partial Multi-label Learning with Noisy Label Identification. [Paper]
[AAAI 2020] Partial Multi-Label Learning with Label Distribution. [Paper]
[AAAI 2020] Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation. [Paper]
[AAAI 2020] Partial Label Learning with Batch Label Correction. [Paper]
[CVPR 2020] Interactive Multi-Label CNN Learning with Partial Labels. [Paper]

[AAAI 2019] Partial Label Learning with Self-Guided Retraining. [Paper]
[AAAI 2019] Partial Label Learning via Label Enhancement. [Paper]
[IJCAI 2019] Partial Label Learning with Unlabeled Data. [Paper]
[IJCAI 2019] Partial Label Learning by Semantic Difference Maximization. [Paper]

YaxinHou/Advances-in-Partial-Label-Learning