Convolutional Neural Networks Analyzed via Convolutional Sparse Coding

27 July 2016

Papers citing "Convolutional Neural Networks Analyzed via Convolutional Sparse Coding"

20 / 120 papers shown

Title
Convolutional Analysis Operator Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 22 46 0 15 Feb 2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters Qiang Qiu Xiuyuan Cheng Robert Calderbank Guillermo Sapiro 25 64 0 12 Feb 2018
Mathematics of Deep Learning René Vidal Joan Bruna Raja Giryes Stefano Soatto OOD 20 119 0 13 Dec 2017
Take it in your stride: Do we need striding in CNNs? Chen Kong Simon Lucey 11 19 0 07 Dec 2017
CNNs are Globally Optimal Given Multi-Layer Support Chen Huang Chen Kong Simon Lucey ODL 20 0 0 07 Dec 2017
Precision Learning: Towards Use of Known Operators in Neural Networks Andreas K. Maier Frank Schebesch Christopher Syben Tobias Würfl S. Steidl Jang-Hwan Choi R. Fahrig 11 32 0 01 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 19 3,061 0 29 Nov 2017
Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning Lixin Fan 10 3 0 15 Nov 2017
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask S. I. Mimilakis K. Drossos J. F. Santos G. Schuller Tuomas Virtanen Yoshua Bengio 25 40 0 04 Nov 2017
Function space analysis of deep learning representation layers Oren Elisha S. Dekel 8 4 0 09 Oct 2017
First and Second Order Methods for Online Convolutional Dictionary Learning Jialin Liu Cristina Garcia Cardona B. Wohlberg W. Yin 14 26 0 31 Aug 2017
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Jeremias Sulam V. Papyan Yaniv Romano Michael Elad 16 111 0 29 Aug 2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning Shashank Singh Barnabás Póczós Jian Ma 17 2 0 29 Aug 2017
Sparse Coding and Autoencoders Akshay Rangamani Anirbit Mukherjee A. Basu T. Ganapathi Ashish Arora S. Chin T. Tran 33 19 0 12 Aug 2017
Convolutional Dictionary Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 19 88 0 03 Jul 2017
On the Global-Local Dichotomy in Sparsity Modeling Dmitry Batenkov Yaniv Romano Michael Elad 8 15 0 11 Feb 2017
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 29 782 0 09 Nov 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks Adam S. Charles Dong Yin Christopher Rozell GNN 17 20 0 26 May 2016
Trainlets: Dictionary Learning in High Dimensions Jeremias Sulam Boaz Ophir M. Zibulevsky Michael Elad 70 103 0 31 Jan 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,182 0 30 Nov 2014