Model-agnostic information transfer and fusion for classification with label noise

Zhu Guojun, Zhang Sanguo, Ren Mingyang

Label noise presents a fundamental challenge in modern machine learning, especially when large-scale datasets are generated via automated processes. An increasingly common and impo…