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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"

6 / 6 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
304
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
70
0
0
17 Feb 2025
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
81
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
37
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
41
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
44
38
0
13 Oct 2016
1