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SQuantizer: Simultaneous Learning for Both Sparse and Low-precision
  Neural Networks

SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks

20 December 2018
M. Park
Xiaofang Xu
C. Brick
    MQ
ArXivPDFHTML

Papers citing "SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks"

14 / 14 papers shown
Title
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Simla Burcu Harma
Ayan Chakraborty
Elizaveta Kostenok
Danila Mishin
Dongho Ha
...
Martin Jaggi
Ming Liu
Yunho Oh
Suvinay Subramanian
Amir Yazdanbakhsh
MQ
71
10
0
31 May 2024
The State of Sparsity in Deep Neural Networks
The State of Sparsity in Deep Neural Networks
Trevor Gale
Erich Elsen
Sara Hooker
129
758
0
25 Feb 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
58
947
0
16 May 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
86
1,348
0
10 Feb 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
136
3,111
0
15 Dec 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
65
330
0
15 Nov 2017
WRPN: Wide Reduced-Precision Networks
WRPN: Wide Reduced-Precision Networks
Asit K. Mishra
Eriko Nurvitadhi
Jeffrey J. Cook
Debbie Marr
MQ
72
267
0
04 Sep 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
52
1,760
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
196
2,521
0
19 Jul 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
382
1,050
0
10 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
424
5,367
0
05 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
188
3,693
0
31 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
233
8,821
0
01 Oct 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
285
6,660
0
08 Jun 2015
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