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Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

14 December 2017
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
ArXivPDFHTML

Papers citing "Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition"

12 / 12 papers shown
Title
A Tensor Decomposition Perspective on Second-order RNNs
A Tensor Decomposition Perspective on Second-order RNNs
M. Lizaire
Michael Rizvi-Martel
Marawan Gamal Abdel Hameed
Guillaume Rabusseau
42
0
0
07 Jun 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Y. Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
45
19
0
22 Jan 2023
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for
  Video Recognition with Hierarchical Tucker Tensor Decomposition
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition
Yu Gong
Miao Yin
Lingyi Huang
Chunhua Deng
Yang Sui
Bo Yuan
22
6
0
05 Dec 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
43
3
0
22 Aug 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional
  Neural Networks
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Y. Pan
Zeyong Su
Ao Liu
Jingquan Wang
Nannan Li
Zenglin Xu
27
11
0
28 May 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case
  Guarantees
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
28
14
0
14 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
34
6
0
30 Sep 2021
Block-term Tensor Neural Networks
Block-term Tensor Neural Networks
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
19
30
0
10 Oct 2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and
  Practice
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
Nir Ailon
Omer Leibovitch
Vineet Nair
13
14
0
17 Jul 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor
  Decomposition
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition
Miao Yin
Siyu Liao
Xiao-Yang Liu
Xiaodong Wang
Bo Yuan
32
24
0
09 May 2020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
16
246
0
18 Sep 2019
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