The Power of Depth for Feedforward Neural Networks

12 December 2015

Papers citing "The Power of Depth for Feedforward Neural Networks"

17 / 367 papers shown

Title
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks Itay Safran Ohad Shamir 28 174 0 31 Oct 2016
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 28 383 0 13 Oct 2016
Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks M. Abdi S. Nahavandi 19 39 0 19 Sep 2016
Convolutional Recurrent Neural Networks for Music Classification Keunwoo Choi Gyorgy Fazekas Mark Sandler Kyunghyun Cho 15 476 0 14 Sep 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 40 602 0 29 Aug 2016
Deep vs. shallow networks : An approximation theory perspective H. Mhaskar T. Poggio 20 340 0 10 Aug 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 29 282 0 05 Jul 2016
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 22 581 0 16 Jun 2016
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
Inductive Bias of Deep Convolutional Networks through Pooling Geometry Nadav Cohen Amnon Shashua 22 132 0 22 May 2016
Deep Online Convex Optimization with Gated Games David Balduzzi 12 8 0 07 Apr 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions Nadav Cohen Amnon Shashua 20 152 0 01 Mar 2016
Efficient Representation of Low-Dimensional Manifolds using Deep Networks Ronen Basri David Jacobs 3DPC 6 44 0 15 Feb 2016
Benefits of depth in neural networks Matus Telgarsky 153 602 0 14 Feb 2016
A Deep Learning Approach to Unsupervised Ensemble Learning Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe B. Nadler Joseph T. Chang Y. Kluger UQCV 25 36 0 06 Feb 2016
Provable approximation properties for deep neural networks Uri Shaham A. Cloninger Ronald R. Coifman 9 229 0 24 Sep 2015
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 27 468 0 16 Sep 2015