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Why does Deep Learning work? - A perspective from Group Theory
20 December 2014
Arnab Paul
Suresh Venkatasubramanian
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Papers citing
"Why does Deep Learning work? - A perspective from Group Theory"
6 / 6 papers shown
Title
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
171
3,275
0
05 Dec 2014
An exact mapping between the Variational Renormalization Group and Deep Learning
Pankaj Mehta
D. Schwab
AI4CE
91
312
0
14 Oct 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
280
14,961
1
21 Dec 2013
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
Fabio Anselmi
Joel Z Leibo
Lorenzo Rosasco
Jim Mutch
Andrea Tacchetti
T. Poggio
OCL
78
88
0
17 Nov 2013
Deep Learning of Representations: Looking Forward
Yoshua Bengio
218
682
0
02 May 2013
Group Symmetry and Covariance Regularization
P. Shah
V. Chandrasekaran
82
27
0
30 Nov 2011
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