Review paper
Learning From Noisy Labels With Deep Neural Networks: A Survey
Volume: 34, Issue: 11, Pages: 8135 - 8153
Published: Mar 7, 2022
Abstract
Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. However, the quality of data labels is a concern because of the lack of high-quality labels in many real-world scenarios. As noisy labels severely degrade the generalization performance of deep neural networks, learning from noisy labels (robust training) is becoming an important task in modern deep learning applications. In this survey,...
Paper Details
Title
Learning From Noisy Labels With Deep Neural Networks: A Survey
Published Date
Mar 7, 2022
Volume
34
Issue
11
Pages
8135 - 8153