Towards Understanding Sparse Filtering: A Theoretical Perspective

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Towards Understanding Sparse Filtering: A Theoretical Perspective

29 March 2016

Fabio Massimo Zennaro

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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 32 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 12,458 0 24 Jun 2012

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