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Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

12 August 2020
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan V. Oseledets
A. Cichocki
    BDL
ArXivPDFHTML

Papers citing "Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network"

18 / 18 papers shown
Title
Characterizing the Accuracy - Efficiency Trade-off of Low-rank
  Decomposition in Language Models
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models
Chakshu Moar
Michael Pellauer
Hyoukjun Kwon
30
1
0
10 May 2024
Video Frame Interpolation with Many-to-many Splatting and Spatial
  Selective Refinement
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement
Ping Hu
Simon Niklaus
Lu Zhang
Stan Sclaroff
Kate Saenko
25
6
0
29 Oct 2023
Matrix Compression via Randomized Low Rank and Low Precision
  Factorization
Matrix Compression via Randomized Low Rank and Low Precision Factorization
R. Saha
Varun Srivastava
Mert Pilanci
18
19
0
17 Oct 2023
Quantization Aware Factorization for Deep Neural Network Compression
Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan V. Oseledets
A. Cichocki
Julia Gusak
MQ
15
2
0
08 Aug 2023
Forward and Inverse Approximation Theory for Linear Temporal
  Convolutional Networks
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks
Hao Jiang
Qianxiao Li
AI4TS
8
0
0
29 May 2023
STen: Productive and Efficient Sparsity in PyTorch
STen: Productive and Efficient Sparsity in PyTorch
Andrei Ivanov
Nikoli Dryden
Tal Ben-Nun
Saleh Ashkboos
Torsten Hoefler
30
4
0
15 Apr 2023
Modality-Agnostic Variational Compression of Implicit Neural
  Representations
Modality-Agnostic Variational Compression of Implicit Neural Representations
Jonathan Richard Schwarz
Jihoon Tack
Yee Whye Teh
Jaeho Lee
Jinwoo Shin
24
25
0
23 Jan 2023
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
43
19
0
22 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural
  Networks
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao
Chengming Zhang
Yu Gong
Miao Yin
Yang Sui
Lizhi Xiang
Dingwen Tao
Bo Yuan
16
19
0
20 Jan 2023
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker
  Decomposition
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Lizhi Xiang
Miao Yin
Chengming Zhang
Aravind Sukumaran-Rajam
P. Sadayappan
Bo Yuan
Dingwen Tao
3DV
18
8
0
07 Nov 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
Zhewen Yu
C. Bouganis
16
4
0
22 Aug 2022
Canonical convolutional neural networks
Canonical convolutional neural networks
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
13
3
0
03 Jun 2022
Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for
  Text-Independent Speaker Verification Explained with Speaker Activation Map
Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map
Seong-Hu Kim
Hyeonuk Nam
Yong-Hwa Park
9
9
0
29 Mar 2022
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
14
1
0
10 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
15
11
0
07 Dec 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
31
6
0
30 Sep 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
19
119
0
07 Jul 2021
Revisiting Dynamic Convolution via Matrix Decomposition
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Ye Yu
Lu Yuan
Zicheng Liu
Mei Chen
Nuno Vasconcelos
27
67
0
15 Mar 2021
1