Deep Semi-Random Features for Nonlinear Function Approximation

28 February 2017

Papers citing "Deep Semi-Random Features for Nonlinear Function Approximation"

5 / 5 papers shown

Title
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 43 61 0 27 Feb 2020
Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning Kenji Kawaguchi Jiaoyang Huang L. Kaelbling AAML 16 18 0 07 Apr 2019
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014