Weicheng Xie*

MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise

"Learning from noisy labels is a challenging task, as noisy labels can compromise decision boundaries and result in suboptimal generalization performance. Most previous approaches for dealing noisy labels are based on sample selection, which utilized the small loss criterion to reduce the adverse ef…