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Adversarial Dropout

Paper reproduction of new regularization technique proposed by Park et. al (2017), intended to reduce overfitting in neural networks.

Original paper title: Adversarial Dropout for Supervised and Semi-supervised Learning Original paper link: https://arxiv.org/abs/1707.03631


Authors: Alex Bratyshkin, Camilo Garcia La Rotta, David Lougheed

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Paper reproduction of new regularization technique proposed by Park et. al (2017), intended to reduce overfitting in neural networks.

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