2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution
NeurIPS 2022accept
Machine learning classifiers have been demonstrated, both empirically and theoretically, to be robust to label noise under certain conditions --- notably the typical assumption is that label noise is independent of the features given the class label. We provide a theoretical framework that generaliz…