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Convolutional Rectifier Networks as Generalized Tensor Decompositions
v1v2 (latest)

Convolutional Rectifier Networks as Generalized Tensor Decompositions

1 March 2016
Nadav Cohen
Amnon Shashua
ArXiv (abs)PDFHTML

Papers citing "Convolutional Rectifier Networks as Generalized Tensor Decompositions"

18 / 68 papers shown
Title
On the Long-Term Memory of Deep Recurrent Networks
On the Long-Term Memory of Deep Recurrent Networks
Yoav Levine
Or Sharir
Alon Ziv
Amnon Shashua
75
24
0
25 Oct 2017
Tensor Networks for Dimensionality Reduction and Large-Scale
  Optimizations. Part 2 Applications and Future Perspectives
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
88
300
0
30 Aug 2017
Do Neural Nets Learn Statistical Laws behind Natural Language?
Do Neural Nets Learn Statistical Laws behind Natural Language?
Shuntaro Takahashi
Kumiko Tanaka-Ishii
92
29
0
16 Jul 2017
On the Optimization Landscape of Tensor Decompositions
On the Optimization Landscape of Tensor Decompositions
Rong Ge
Tengyu Ma
130
92
0
18 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Peter L. Bartlett
Inderjit S. Dhillon
MLT
211
337
0
10 Jun 2017
Fast learning rate of deep learning via a kernel perspective
Fast learning rate of deep learning via a kernel perspective
Taiji Suzuki
60
6
0
29 May 2017
Classification regions of deep neural networks
Classification regions of deep neural networks
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
Stefano Soatto
86
51
0
26 May 2017
The power of deeper networks for expressing natural functions
The power of deeper networks for expressing natural functions
David Rolnick
Max Tegmark
176
174
0
16 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
133
38
0
05 May 2017
Optimal Approximation with Sparsely Connected Deep Neural Networks
Optimal Approximation with Sparsely Connected Deep Neural Networks
Helmut Bölcskei
Philipp Grohs
Gitta Kutyniok
P. Petersen
202
256
0
04 May 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with
  Implications to Network Design
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Yoav Levine
David Yakira
Nadav Cohen
Amnon Shashua
139
126
0
05 Apr 2017
Sharing Residual Units Through Collective Tensor Factorization in Deep
  Neural Networks
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks
Yunpeng Chen
Xiaojie Jin
Bingyi Kang
Jiashi Feng
Shuicheng Yan
87
37
0
07 Mar 2017
On the Expressive Power of Overlapping Architectures of Deep Learning
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir
Amnon Shashua
108
10
0
06 Mar 2017
Deep Learning and Hierarchal Generative Models
Deep Learning and Hierarchal Generative Models
Elchanan Mossel
BDLGAN
125
24
0
29 Dec 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
385
4,641
0
10 Nov 2016
Tensorial Mixture Models
Tensorial Mixture Models
Or Sharir
Ronen Tamari
Nadav Cohen
Amnon Shashua
TPM
92
25
0
13 Oct 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Nadav Cohen
Amnon Shashua
100
134
0
22 May 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen
Or Sharir
Amnon Shashua
91
472
0
16 Sep 2015
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