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Author

Gaoxia Jiang

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Aug 2026

Certainty-Aware Partition and Sufficient Utilization of Noisy Samples

CAPSUN is proposed, a robust framework that improves the precision of clean sample selection and mitigates distribution bias through alignment among subsets, and designs a distribution alignment module to adjust the class distribution contrast of labeled and unlabeled subsets to mitigate class distribution discrepancies.

Jia Zhang, Gao-Xia Jiang, Senyu Hou et al. · 0 citations

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