2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
IJCAI 2021poster
Deep neural networks need large amounts of labeled data to achieve good performance. In real-world applications, labels are usually collected from non-experts such as crowdsourcing to save cost and thus are noisy. In the past few years, deep learning methods for dealing with noisy labels have been d…