Learning from Data with Noisy Labels Using Temporal Self-Ensemble

Jun Ho Lee, Jae Soon Baik, Tae Hwan Hwang +1

There are inevitably many mislabeled data in real-world datasets. Because deep neural networks (DNNs) have an enormous capacity to memorize noisy labels, a robust training scheme i…