Fast learning rate of deep learning via a kernel perspective

29 May 2017

Papers citing "Fast learning rate of deep learning via a kernel perspective"

17 / 17 papers shown

Title
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks Itay Safran Ohad Shamir 55 174 0 31 Oct 2016
Exponential expressivity in deep neural networks through transient chaos Ben Poole Subhaneil Lahiri M. Raghu Jascha Narain Sohl-Dickstein Surya Ganguli 73 587 0 16 Jun 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 45 130 0 20 May 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions Nadav Cohen Amnon Shashua 40 153 0 01 Mar 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 126 731 0 12 Dec 2015
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 62 469 0 16 Sep 2015
On the Depth of Deep Neural Networks: A Theoretical View Shizhao Sun Wei-neng Chen Liwei Wang Xiaoguang Liu Tie-Yan Liu 29 20 0 17 Jun 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 45 258 0 14 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 431 9,233 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 99 1,878 0 20 May 2015
Neural Network with Unbounded Activation Functions is Universal Approximator Sho Sonoda Noboru Murata 46 335 0 14 May 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 213 583 0 27 Feb 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 57 940 0 18 Feb 2015
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 82 701 0 30 Dec 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 67 380 0 12 Jun 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 72 1,249 0 08 Feb 2014
Rates of contraction of posterior distributions based on Gaussian process priors Van der Vaart V. Zanten 133 427 0 18 Jun 2008