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1704.08045
Cited By
The loss surface of deep and wide neural networks
26 April 2017
Quynh N. Nguyen
Matthias Hein
ODL
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Papers citing
"The loss surface of deep and wide neural networks"
14 / 64 papers shown
Title
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
S. Du
Surbhi Goel
MLT
30
17
0
20 May 2018
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
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
19
87
0
19 Feb 2018
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
Peter L. Bartlett
D. Helmbold
Philip M. Long
33
116
0
16 Feb 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples
S. Dube
31
29
0
02 Jan 2018
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
106
1,844
0
28 Dec 2017
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran
Ohad Shamir
40
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
50
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
128
117
0
08 Jul 2017
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
MLT
18
181
0
10 May 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
183
1,185
0
30 Nov 2014
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