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Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

19 December 2014
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
ArXivPDFHTML

Papers citing "Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition"

7 / 7 papers shown
Title
Image Recognition with Online Lightweight Vision Transformer: A Survey
Image Recognition with Online Lightweight Vision Transformer: A Survey
Zherui Zhang
Rongtao Xu
Jie Zhou
Changwei Wang
Xingtian Pei
...
Jiguang Zhang
Li Guo
Longxiang Gao
Wenyuan Xu
Shibiao Xu
ViT
313
0
0
06 May 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
72
1
0
17 Feb 2025
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
83
2
1
03 Jan 2025
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan Oseledets
A. Cichocki
BDL
39
129
0
12 Aug 2020
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
50
132
0
14 Dec 2017
Tensor Computation: A New Framework for High-Dimensional Problems in EDA
Tensor Computation: A New Framework for High-Dimensional Problems in EDA
Zheng Zhang
Kim Batselier
Haotian Liu
Luca Daniel
Ngai Wong
46
38
0
13 Oct 2016
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
53
1,682
0
02 Apr 2014
1