Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

Dan Hendrycks, Mantas Mazeika, Duncan Wilson +1

The growing importance of massive datasets used for deep learning makes robustness to label noise a critical property for classifiers to have. Sources of label noise include automa…