Gradient Agreement Hinders the Memorization of Noisy Labels

The performance of deep neural networks (DNNs) critically relies on high-quality annotations, while training DNNs with noisy labels remains challenging owing to their incredible capacity to memorize the entire training set. In this work, we use two synchronously trained networks to reveal that noisy...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Shaotian Yan, Xiang Tian, Rongxin Jiang, Yaowu Chen
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	noisy labeled data robust learning gradient methods image classification
Online Access:	https://www.mdpi.com/2076-3417/13/3/1823