Tag: Semi-Supervised Learning
All the articles with the tag "Semi-Supervised Learning".
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ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
This paper introduces ULFine, an unbiased lightweight fine-tuning strategy for foundation-model-assisted long-tailed semi-supervised learning, which mitigates 'minority bottleneck' and 'majority overconfidence' issues using Prototype Adaptive Fitting and Dual Logit Fusion, achieving significant performance improvements and over 10x training cost reduction on benchmark datasets.