Sharing Residual Units Through Collective Tensor Factorization in Deep
Neural Networks

Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks

7 March 2017

Papers citing "Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks"

10 / 10 papers shown

Title
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis S. Zafeiriou 29 92 0 20 Jun 2020
$Π-$ nets: Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Yannis Panagakis Jiankang Deng S. Zafeiriou 29 59 0 08 Mar 2020
Iteratively Training Look-Up Tables for Network Quantization Fabien Cardinaux Stefan Uhlich K. Yoshiyama Javier Alonso García Lukas Mauch Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 16 0 12 Nov 2019
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 33 48 0 28 May 2018
Image Super-Resolution via Dual-State Recurrent Networks Wei Han Shiyu Chang Ding Liu Mo Yu Michael Witbrock Thomas S. Huang SupR 22 215 0 07 May 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 29 132 0 14 Dec 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 43 145 0 26 Jul 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,494 0 30 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016