ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.08839
  4. Cited By
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of
  DNNs with Ultra-High Efficiency

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency

23 January 2020
Zechao Li
Yifan Gong
Xiaolong Ma
Sijia Liu
Mengshu Sun
Zheng Zhan
Zhenglun Kong
Geng Yuan
Yanzhi Wang
ArXivPDFHTML

Papers citing "SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency"

20 / 20 papers shown
Title
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar
  Framework for Ultra Efficient DNN Implementation
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
Xiaolong Ma
Geng Yuan
Sheng Lin
Caiwen Ding
Fuxun Yu
Tao Liu
Wujie Wen
Xiang Chen
Yanzhi Wang
MQ
33
45
0
27 Aug 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for
  Ultra-High Compression Rates
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu
Xiaolong Ma
Zhiyuan Xu
Yanzhi Wang
Jian Tang
Jieping Ye
57
185
0
06 Jul 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using
  Alternating Direction Method of Multipliers
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren
Tianyun Zhang
Shaokai Ye
Jiayu Li
Wenyao Xu
Xuehai Qian
Xinyu Lin
Yanzhi Wang
MQ
82
161
0
31 Dec 2018
Discrimination-aware Channel Pruning for Deep Neural Networks
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
89
597
0
28 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
25
1,460
0
11 Oct 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
43
41
0
06 Sep 2018
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight
  Pruning for DNNs
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Xiaolong Ma
Ning Liu
...
Jian Tang
Kaisheng Ma
Xue Lin
M. Fardad
Yanzhi Wang
50
50
0
29 Jul 2018
Systematic Weight Pruning of DNNs using Alternating Direction Method of
  Multipliers
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Yipeng Zhang
Yanzhi Wang
M. Fardad
34
21
0
15 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
65
1,346
0
10 Feb 2018
N2N Learning: Network to Network Compression via Policy Gradient
  Reinforcement Learning
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
A. Ashok
Nicholas Rhinehart
Fares N. Beainy
Kris Kitani
40
170
0
18 Sep 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
88
1,631
0
03 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
375
5,346
0
05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
808
6,768
0
26 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
155
3,676
0
31 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
59
1,054
0
16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
102
2,331
0
12 Aug 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
93
2,453
0
04 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
220
6,628
0
08 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
860
99,991
0
04 Sep 2014
1