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Ultimate tensorization: compressing convolutional and FC layers alike

Ultimate tensorization: compressing convolutional and FC layers alike

10 November 2016
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
ArXivPDFHTML

Papers citing "Ultimate tensorization: compressing convolutional and FC layers alike"

20 / 20 papers shown
Title
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Singular Vectors: Reducing Task Interference in Model Merging
Antonio Andrea Gargiulo
Donato Crisostomi
Maria Sofia Bucarelli
Simone Scardapane
Fabrizio Silvestri
Emanuele Rodolà
MoMe
87
8
0
26 Nov 2024
On Model Compression for Neural Networks: Framework, Algorithm, and
  Convergence Guarantee
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Chenyang Li
Jihoon Chung
Mengnan Du
Haimin Wang
Xianlian Zhou
Bohao Shen
33
1
0
13 Mar 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
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
Deep tensor networks with matrix product operators
Deep tensor networks with matrix product operators
Bojan Žunkovič
57
4
0
16 Sep 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
19
11
0
28 May 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
16
17
0
09 Mar 2022
Classical versus Quantum: comparing Tensor Network-based Quantum
  Circuits on LHC data
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
28
14
0
21 Feb 2022
Nonlinear Tensor Ring Network
Nonlinear Tensor Ring Network
Xiao Peng Li
Qi Liu
Hayden Kwok-Hay So
12
0
0
12 Nov 2021
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
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
16
44
0
06 Oct 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
Quantum-inspired event reconstruction with Tensor Networks: Matrix
  Product States
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz
M. Spannowsky
14
16
0
15 Jun 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization,
  and Ultra-Low Latency Acceleration
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration
Yao Chen
Cole Hawkins
Kaiqi Zhang
Zheng-Wei Zhang
Cong Hao
11
8
0
11 May 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data
  Classification
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
Konstantinos Makantasis
Alexandros Georgogiannis
A. Voulodimos
Ioannis Georgoulas
Anastasios Doulamis
N. Doulamis
16
21
0
11 Apr 2021
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
22
27
0
13 Jul 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
32
72
0
07 Jan 2020
Active Subspace of Neural Networks: Structural Analysis and Universal
  Attacks
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
Chunfeng Cui
Kaiqi Zhang
Talgat Daulbaev
Julia Gusak
Ivan V. Oseledets
Zheng-Wei Zhang
AAML
24
25
0
29 Oct 2019
Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang
Denis Krompass
Volker Tresp
25
241
0
06 Jul 2017
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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