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4. Towards A New Understanding Of The Training Of Neural Networks With Mislabeled Training Data

Towards A New Understanding Of The Training Of Neural Networks With Mislabeled Training Data

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IEEE ICASSP 2020 Virtual Conference May 2020

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 model and equations that characterize the problem. This includes results about

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Towards A New Understanding Of The Training Of Neural Networks With Mislabeled Training Data

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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 model and equations that characterize the problem. This includes results about