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Yulin Chen

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Conference Open access 2026

Learning on Imbalanced Noisy Data via Debiased Sample Selection and LLM-Driven Annotation

This paper proposes a debiased sample selection and an innovative collaborative learning framework DeCo based on active learning for LNL, and employs distinct loss functions adept at managing subsets with varying degrees of label noise.

Bo Yuan, Yulin Chen, Yin Zhang · 0 citations