2 papers
cs.LG2023
Analyze the Robustness of Classifiers under Label Noise
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. Label noise in supervised lear…
cs.LG2023
Analyze the robustness of three NMF algorithms (Robust NMF with L1 norm, L2-1 norm NMF, L2 NMF)
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). However, noises can seriously affec…