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Neural Network Regularization via Robust Weight Factorization.

CoRR, (2014)

Cited by: 5|Views28
EI

Abstract

Regularization is essential when training large neural networks. As deep neural networks can be mathematically interpreted as universal function approximators, they are effective at memorizing sampling noise in the training data. This results in poor generalization to unseen data. Therefore, it is no surprise that a new regularization t...More

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