Robust Temporal Ensembling for Learning with Noisy Labels

Abel Brown, Benedikt Schifferer, Robert DiPietro

Successful training of deep neural networks with noisy labels is an essential capability as most real-world datasets contain some amount of mislabeled data. Left unmitigated, label…