Augmentation Strategies for Learning with Noisy Labels

Kento Nishi, Yi Ding, Alex Rich +1

Imperfect labels are ubiquitous in real-world datasets. Several recent successful methods for training deep neural networks (DNNs) robust to label noise have used two primary techn…