NeurIPS 2020

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

Meta Review

This main contribution is a study to estimate the transition matrix in label-noise learning. The paper proposes interesting methods, with sound theory and empirical study. The authors are strongly encouraged to, and we trust that you will, significantly improve the clarity of the discussion in the few places mentioned by the reviewers.