Learning from Corrupted Binary Labels via Class-Probability Estimation

Aditya Krishna Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson

Abstract: Many supervised learning problems involve learning from samples whose labels are corrupted in some way. For example, each sample may have some constant probability of being incorrectly labelled (le...