2022
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
NeurIPS 2022accept
In label-noise learning, estimating the transition matrix plays an important role in building statistically consistent classifier. Current state-of-the-art consistent estimator for the transition matrix has been developed under the newly proposed sufficiently scattered assumption, through incorporat…