Analyze the Robustness of Classifiers under Label Noise

no code implementations • 12 Dec 2023 • Cheng Zeng, YiXuan Xu, Jiaqi Tian

This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios.

Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)

no code implementations • 3 Dec 2023 • Cheng Zeng, Jiaqi Tian, YiXuan Xu

Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021).