Global Convergence of Sobolev Training for Overparametrized Neural Networks

14 Jun 2020Jorio CocolaPaul Hand

Sobolev loss is used when training a network to approximate the values and derivatives of a target function at a prescribed set of input points. Recent works have demonstrated its successful applications in various tasks such as distillation or synthetic gradient prediction... (read more)

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