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Learning to Prune Filters in Convolutional Neural Networks

Learning to Prune Filters in Convolutional Neural Networks

23 January 2018
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
    VLM
ArXiv (abs)PDFHTML

Papers citing "Learning to Prune Filters in Convolutional Neural Networks"

25 / 75 papers shown
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
117
31
0
27 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
781
1,666
0
02 Aug 2019
Fully Decoupled Neural Network Learning Using Delayed Gradients
Fully Decoupled Neural Network Learning Using Delayed GradientsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Huiping Zhuang
Yi Wang
Qinglai Liu
Shuai Zhang
Zhiping Lin
FedML
155
33
0
21 Jun 2019
Learning Sparse Networks Using Targeted Dropout
Learning Sparse Networks Using Targeted Dropout
Aidan Gomez
Ivan Zhang
Siddhartha Rao Kamalakara
Divyam Madaan
Kevin Swersky
Y. Gal
Geoffrey E. Hinton
339
99
0
31 May 2019
Attention Based Pruning for Shift Networks
Attention Based Pruning for Shift NetworksInternational Conference on Pattern Recognition (ICPR), 2019
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
154
25
0
29 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDLCML
256
58
0
28 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width
  Optimization
Approximated Oracle Filter Pruning for Destructive CNN Width OptimizationInternational Conference on Machine Learning (ICML), 2019
Xiaohan Ding
Guiguang Ding
Yuchen Guo
Jiawei Han
C. Yan
AAML
160
134
0
12 May 2019
Deep Anchored Convolutional Neural Networks
Deep Anchored Convolutional Neural Networks
Jiahui Huang
Kshitij Dwivedi
Gemma Roig
104
1
0
22 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Yang He
Ping Liu
Linchao Zhu
Yi Yang
VLM
205
59
0
08 Apr 2019
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
Jiahui Yu
Thomas Huang
186
58
0
27 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration
Cascaded Projection: End-to-End Network Compression and Acceleration
Breton L. Minnehan
Andreas E. Savakis
127
26
0
12 Mar 2019
Dynamic Runtime Feature Map Pruning
Dynamic Runtime Feature Map Pruning
Tailin Liang
Lei Wang
Shaobo Shi
C. Glossner
3DPC
108
8
0
24 Dec 2018
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
135
7
0
06 Dec 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class
  specific filter sensitivity analysis
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
Kasanagottu Sairam
J. Mukherjee
A. Patra
P. Das
152
5
0
11 Nov 2018
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural
  Networks
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks
Amir H. Ashouri
T. Abdelrahman
Alwyn Dos Remedios
MQ
236
13
0
10 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
407
1,174
0
01 Nov 2018
Pruning Deep Neural Networks using Partial Least Squares
Pruning Deep Neural Networks using Partial Least Squares
Artur Jordão
Ricardo Kloss
Fernando A. A. Yamada
William Robson Schwartz
137
10
0
17 Oct 2018
Functionality-Oriented Convolutional Filter Pruning
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
128
4
0
12 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
Łukasz Dudziak
Robert D. Mullins
Chengzhong Xu
251
340
0
12 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
343
137
0
10 Sep 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
283
143
0
22 Aug 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Constructing Deep Neural Networks by Bayesian Network Structure Learning
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
G. Koren
Gal Novik
BDL
317
27
0
24 Jun 2018
On Machine Learning and Structure for Mobile Robots
On Machine Learning and Structure for Mobile Robots
Markus Wulfmeier
129
5
0
15 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
140
34
0
14 Jun 2018
A novel channel pruning method for deep neural network compression
A novel channel pruning method for deep neural network compression
Yiming Hu
Siyang Sun
Jianquan Li
Xingang Wang
Qingyi Gu
195
75
0
29 May 2018
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