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Towards Understanding Sparse Filtering: A Theoretical Perspective
29 March 2016
Fabio Massimo Zennaro
Ke Chen
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Papers citing
"Towards Understanding Sparse Filtering: A Theoretical Perspective"
8 / 8 papers shown
Title
A Modular Theory of Feature Learning
D. McNamara
Cheng Soon Ong
Robert C. Williamson
OOD
SSL
49
4
0
09 Nov 2016
A survey of sparse representation: algorithms and applications
Zheng Zhang
Yong-mei Xu
Jian Yang
Xuelong Li
David C. Zhang
AI4TS
86
990
0
23 Feb 2016
Compute Less to Get More: Using ORC to Improve Sparse Filtering
Johannes Lederer
S. Guadarrama
34
5
0
16 Sep 2014
No more meta-parameter tuning in unsupervised sparse feature learning
Adriana Romero
Petia Radeva
C. Gatta
49
8
0
24 Feb 2014
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
96
1,256
0
08 Feb 2014
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow
D. Erhan
P. Carrier
Aaron Courville
M. Berk Mirza
...
Jingjing Xie
Lukasz Romaszko
Bing Xu
Chuang Zhang
Yoshua Bengio
CVBM
137
1,619
0
01 Jul 2013
Recklessly Approximate Sparse Coding
Misha Denil
Nando de Freitas
138
15
0
04 Aug 2012
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
278
12,460
0
24 Jun 2012
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