Learning to Detect Noisy Labels Using Model-Based Features

Zhihao Wang, Zongyu Lin, Peiqi Liu +5

Label noise is ubiquitous in various machine learning scenarios such as self-labeling with model predictions and erroneous data annotation. Many existing approaches are based on he…