Understanding the Loss Surface of Neural Networks for Binary Classification

19 February 2018

Papers citing "Understanding the Loss Surface of Neural Networks for Binary Classification"

10 / 60 papers shown

Title
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks Henning Petzka C. Sminchisescu 29 9 0 16 Dec 2018
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks Shuai Li 25 2 0 30 Nov 2018
Learning One-hidden-layer Neural Networks under General Input Distributions Weihao Gao Ashok Vardhan Makkuva Sewoong Oh Pramod Viswanath MLT 27 28 0 09 Oct 2018
On the loss landscape of a class of deep neural networks with no bad local valleys Quynh N. Nguyen Mahesh Chandra Mukkamala Matthias Hein 16 87 0 27 Sep 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex Hongyang R. Zhang Junru Shao Ruslan Salakhutdinov 39 14 0 06 Jun 2018
Adding One Neuron Can Eliminate All Bad Local Minima Shiyu Liang Ruoyu Sun J. Lee R. Srikant 37 89 0 22 May 2018
Are ResNets Provably Better than Linear Predictors? Ohad Shamir 17 54 0 18 Apr 2018
Small nonlinearities in activation functions create bad local minima in neural networks Chulhee Yun S. Sra Ali Jadbabaie ODL 22 93 0 10 Feb 2018
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 128 117 0 08 Jul 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014