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20192026
most citedLearning from Noisy Labels with Noise Modeling Network

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2019

Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data

Herbert Gish, Jan Silovsky, Man-Ling Sung +3

We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic mode…