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Author

Bi Wang

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Aug 2026

COVER-EL: Class cOVERage-Aware Noise Correction for Crowdsourced Labels via Elimination-Based Inference.

This work proposes a class coverage-aware noise correction method for crowdsourced labels via elimination-based inference (COVER-EL), and provides a probably approximately correct (PAC)-style bound that gives a high-probability guarantee on the overall error after correction.

Bi Wang, Yan-Ting Yang, Xuelian Li · 0 citations

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