An awesome paper list of Semi-Supervised Learning under realistic settings.
[ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
[MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
[NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）
Official implementation of "AIR: Analytic Imbalance Rectifier for Continual Learning"
[MICCAI 2023] "How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?" by Gregory Holste et al.
🔥[ECCV 2024, Oral, Official] LTRL: Boosting Long-tail Recognition via Reflective Learning
[TMM 2024] The official implementation of paper "BMB: Balanced Memory Bank for Long-Tailed Semi-supervised Learning"
IBLA - Imbalance Learning Archive
[MIUA 2024 Oral] JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
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