Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Giorgio Patrini, Alessandro Rozza, Aditya Menon +2

We present a theoretically grounded approach to train deep neural networks, including recurrent networks, subject to class-dependent label noise. We propose two procedures for loss…