Collaborative Label Correction via Entropy Thresholding

Deep neural networks (DNNs) have the capacity to fit extremely noisy labels nonetheless they tend to learn data with clean labels first and then memorize those with noisy labels. We examine this behavior in light of the Shannon entropy of the predictions and demonstrate the low entropy predictions d...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Wu, Hao, Yao, Jiangchao, Wang, Jiajie, Chen, Yinru, Zhang, Ya, Wang, Yanfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Collaboration Computer Science - Learning Entropy Entropy (Information theory) Labels
Online-Zugang:	Volltext
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