Convexified Convolutional Neural Networks

4 September 2016

Papers citing "Convexified Convolutional Neural Networks"

19 / 19 papers shown

Title
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely Roy Frostig Y. Singer 146 343 0 18 Feb 2016
Learning Halfspaces and Neural Networks with Random Initialization Yuchen Zhang Jason D. Lee Martin J. Wainwright Michael I. Jordan 49 36 0 25 Nov 2015
On the Quality of the Initial Basin in Overspecified Neural Networks Itay Safran Ohad Shamir 69 127 0 13 Nov 2015
$$\ell_1$-regularized Neural Networks are Improperly Learnable in Polynomial Time$ $\ell_1$ -regularized Neural Networks are Improperly Learnable in Polynomial Time Yuchen Zhang Jason D. Lee Michael I. Jordan 167 102 0 13 Oct 2015
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods Majid Janzamin Hanie Sedghi Anima Anandkumar 63 26 0 28 Jun 2015
Global Optimality in Tensor Factorization, Deep Learning, and Beyond B. Haeffele René Vidal 166 150 0 24 Jun 2015
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 166 706 0 30 Dec 2014
Provable Methods for Training Neural Networks with Sparse Connectivity Hanie Sedghi Anima Anandkumar 59 64 0 08 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 251 1,196 0 30 Nov 2014
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 129 479 0 05 Oct 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 89 442 0 13 Aug 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 87 380 0 12 Jun 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Yann N. Dauphin Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio ODL 123 1,384 0 10 Jun 2014
PCANet: A Simple Deep Learning Baseline for Image Classification? Tsung-Han Chan Kui Jia Shenghua Gao Jiwen Lu Zinan Zeng Yi-An Ma 110 1,498 0 14 Apr 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 150 738 0 19 Mar 2014
Deep Learning using Linear Support Vector Machines Yichuan Tang 95 894 0 02 Jun 2013
Learning Invariant Representations with Local Transformations Kihyuk Sohn Honglak Lee OOD 72 189 0 27 Jun 2012
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 109 1,275 0 05 Mar 2012
On Some Extensions of Bernstein's Inequality for Self-adjoint Operators Stanislav Minsker 127 151 0 22 Dec 2011