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Updated: Jul 27, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
CMW-Net: an adaptive robust algorithm for sample selection and label correction
Jun Shu1,2, Xiang Yuan1,2, Deyu Meng1,2,3,4
1School of Mathematics and Statistics, Xi'an Jiaotong University, China.
Abstract:
A class-aware sample weighting algorithm is developed for general label noise problems. The algorithm can effectively tackle complicated and diverse noisy label tasks, winning the Championship of the 'Arena Contest' Track 1 of 2022 Greater BayArea (Huangpu) International Algorithm Case Competition.
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