Symmetrization of Loss Functions for Robust Training of Neural Networks in the Presence of Noisy Labels

Alexandre Lemire Paquin, Brahim Chaib-Draa, Philippe Giguère

Labeling a training set is often expensive and susceptible to errors, making the design of robust loss functions for label noise an important problem. The symmetry condition provid…