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1804.03294
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A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
10 April 2018
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
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Papers citing
"A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers"
10 / 60 papers shown
Title
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu
Xiaolong Ma
Zhiyuan Xu
Yanzhi Wang
Jian Tang
Jieping Ye
35
183
0
06 Jul 2019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
Sheng Lin
Xiaolong Ma
Shaokai Ye
Geng Yuan
Kaisheng Ma
Yanzhi Wang
MQ
19
10
0
02 May 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
Shaokai Ye
Xiaoyu Feng
Tianyun Zhang
Xiaolong Ma
Sheng Lin
...
Jian Tang
M. Fardad
X. Lin
Yongpan Liu
Yanzhi Wang
MQ
30
38
0
23 Mar 2019
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li
Z. Wang
Xiangyang Wang
Hairong Qi
11
5
0
18 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
29
307
0
15 Feb 2019
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
X. Lin
Yanzhi Wang
MQ
29
162
0
31 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Zhe Li
Caiwen Ding
Siyue Wang
Wujie Wen
Youwei Zhuo
...
Qinru Qiu
Wenyao Xu
X. Lin
Xuehai Qian
Yanzhi Wang
MQ
12
64
0
12 Dec 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM
Shaokai Ye
Tianyun Zhang
Kaiqi Zhang
Jiayu Li
Kaidi Xu
...
M. Fardad
Sijia Liu
Xiang Chen
X. Lin
Yanzhi Wang
AI4CE
29
38
0
17 Oct 2018
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
16
38
0
20 Jul 2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Xiaoliang Dai
Hongxu Yin
N. Jha
VLM
SyDa
23
90
0
30 May 2018
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