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Qualitatively characterizing neural network optimization problems

Qualitatively characterizing neural network optimization problems

19 December 2014
Ian Goodfellow
Oriol Vinyals
Andrew M. Saxe
    ODL
ArXivPDFHTML

Papers citing "Qualitatively characterizing neural network optimization problems"

11 / 111 papers shown
Title
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
30
667
0
24 Mar 2017
An empirical analysis of the optimization of deep network loss surfaces
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im
Michael Tao
K. Branson
ODL
35
61
0
13 Dec 2016
Local minima in training of neural networks
Local minima in training of neural networks
G. Swirszcz
Wojciech M. Czarnecki
Razvan Pascanu
ODL
29
73
0
19 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
25
398
0
14 Nov 2016
Topology and Geometry of Half-Rectified Network Optimization
Topology and Geometry of Half-Rectified Network Optimization
C. Freeman
Joan Bruna
19
233
0
04 Nov 2016
Finding Approximate Local Minima Faster than Gradient Descent
Finding Approximate Local Minima Faster than Gradient Descent
Naman Agarwal
Zeyuan Allen-Zhu
Brian Bullins
Elad Hazan
Tengyu Ma
38
83
0
03 Nov 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
29
777
0
16 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
63
3,172
0
15 Jun 2016
No bad local minima: Data independent training error guarantees for
  multilayer neural networks
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
19
235
0
26 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
26
17,032
0
17 Feb 2016
On the Quality of the Initial Basin in Overspecified Neural Networks
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran
Ohad Shamir
11
127
0
13 Nov 2015
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