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Mirai Tanaka

2 accepted papers

2019

Semi-flat minima and saddle points by embedding neural networks to overparameterization

NeurIPS 2019poster

We theoretically study the landscape of the training error for neural networks in overparameterized cases. We consider three basic methods for embedding a network into a wider one with more hidden units, and discuss whether a minimum point of the narrower network gives a minimum or saddle point of…

Cited by 31SourcePDFScholar