Tensorizing Neural Networks

22 September 2015

Dmitry Vetrov

Papers citing "Tensorizing Neural Networks"

50 / 153 papers shown

Title
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 22 67 0 04 Apr 2019
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms Mohsen Ghassemi Z. Shakeri Anand D. Sarwate W. Bajwa 22 16 0 22 Mar 2019
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan Oseledets GNN 27 25 0 30 Jan 2019
Understanding and Training Deep Diagonal Circulant Neural Networks Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 27 4 0 29 Jan 2019
Hamiltonian Monte-Carlo for Orthogonal Matrices V. Yanush D. Kropotov 19 1 0 23 Jan 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Yu Pan Jing Xu Maolin Wang Jinmian Ye Fei Wang Kun Bai Zenglin Xu MQ 20 104 0 19 Nov 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 63 1,176 0 04 Oct 2018
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion Longhao Yuan Chong Li Danilo P. Mandic Jianting Cao Qibin Zhao 14 171 0 07 Sep 2018
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 43 19 0 17 Jun 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 69 75 0 15 Jun 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 16 20 0 25 May 2018
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion Longhao Yuan Chong Li Danilo P. Mandic Jianting Cao Qibin Zhao 21 10 0 22 May 2018
A Support Tensor Train Machine Cong Chen Kim Batselier Ching-Yun Ko Ngai Wong 32 22 0 17 Apr 2018
A Compact Network Learning Model for Distribution Regression C. Kou H. Lee Teck Khim Ng 18 10 0 13 Apr 2018
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format Longhao Yuan Qibin Zhao Lihua Gui Jianting Cao ViT 18 55 0 05 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 874 0 03 Mar 2018
Wide Compression: Tensor Ring Nets Wenqi Wang Yifan Sun Brian Eriksson Wenlin Wang Vaneet Aggarwal 13 168 0 25 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 25 137 0 31 Dec 2017
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 Train Neighborhood Preserving Embedding Wenqi Wang Vaneet Aggarwal Shuchin Aeron 30 31 0 03 Dec 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He Shaobing Gao Liang Xiao Daxue Liu Hangen He David Barber AIMat 37 64 0 05 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 36 231 0 01 Nov 2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition Pavel Izmailov Alexander Novikov D. Kropotov 28 61 0 19 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 27 268 0 06 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 34 296 0 30 Aug 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 43 145 0 26 Jul 2017
Efficient Low Rank Tensor Ring Completion Wenqi Wang Vaneet Aggarwal Shuchin Aeron 24 178 0 23 Jul 2017
Tensor-Train Recurrent Neural Networks for Video Classification Yinchong Yang Denis Krompass Volker Tresp 33 241 0 06 Jul 2017
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 31 109 0 23 May 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 22 4 0 29 Mar 2017
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks Yunpeng Chen Xiaojie Jin Bingyi Kang Jiashi Feng Shuicheng Yan 38 37 0 07 Mar 2017
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection Jonathan Shen Noranart Vesdapunt Vishnu Boddeti Kris Kitani 19 29 0 01 Dec 2016
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 27 204 0 21 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 39 190 0 10 Nov 2016
Doubly Convolutional Neural Networks Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang OOD 3DV 22 63 0 30 Oct 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers Bharat Bhusan Sau V. Balasubramanian 23 181 0 30 Oct 2016
TensorLy: Tensor Learning in Python Jean Kossaifi Yannis Panagakis Anima Anandkumar Maja Pantic 33 351 0 29 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 14 143 0 14 Oct 2016
Tensor Computation: A New Framework for High-Dimensional Problems in EDA Zheng-Wei Zhang Kim Batselier Haotian Liu Luca Daniel Ngai Wong 32 38 0 13 Oct 2016
Concatenated image completion via tensor augmentation and completion Johann A. Bengua H. Tuan H. N. Phien Minh Do ViT 18 15 0 14 Jul 2016
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang Timothy M. Hospedales 24 255 0 20 May 2016
Supervised Learning with Quantum-Inspired Tensor Networks E. Stoudenmire D. Schwab SSL 35 163 0 18 May 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 30 425 0 03 Mar 2016
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 28 892 0 20 Nov 2015
Convolutional neural networks with low-rank regularization Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E. Weinan BDL 31 460 0 19 Nov 2015
ACDC: A Structured Efficient Linear Layer Marcin Moczulski Misha Denil J. Appleyard Nando de Freitas 38 98 0 18 Nov 2015
Deep SimNets Nadav Cohen Or Sharir Amnon Shashua 35 46 0 09 Jun 2015