The loss surface of deep and wide neural networks

The loss surface of deep and wide neural networks

26 April 2017

Quynh N. Nguyen

Matthias Hein

Papers citing "The loss surface of deep and wide neural networks"

11 / 61 papers shown

Title
The Loss Surface of XOR Artificial Neural Networks D. Mehta Xiaojun Zhao Edgar A. Bernal D. Wales 34 19 0 06 Apr 2018
Essentially No Barriers in Neural Network Energy Landscape Felix Dräxler K. Veschgini M. Salmhofer Fred Hamprecht MoMe 20 424 0 02 Mar 2018
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks Peter L. Bartlett D. Helmbold Philip M. Long 25 116 0 16 Feb 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples S. Dube 29 29 0 02 Jan 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 77 1,844 0 28 Dec 2017
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks Itay Safran Ohad Shamir 34 261 0 24 Dec 2017
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data Alon Brutzkus Amir Globerson Eran Malach Shai Shalev-Shwartz MLT 42 276 0 27 Oct 2017
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard J. Lee 36 415 0 16 Jul 2017
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 125 117 0 08 Jul 2017
Piecewise convexity of artificial neural networks Blaine Rister Daniel L Rubin AAML ODL 28 31 0 17 Jul 2016
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