Neural Network Regularization via Robust Weight Factorization

20 Dec 2014Jan RudyWeiguang DingDaniel Jiwoong ImGraham W. Taylor

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... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper