An awesome paper list of Semi-Supervised Learning under realistic settings.
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Updated
Apr 12, 2024 - Shell
An awesome paper list of Semi-Supervised Learning under realistic settings.
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)
[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
[MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)
[MICCAI 2023] "How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?" by Gregory Holste et al.
[MIUA 2024] JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
IBLA - Imbalance Learning Archive
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