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Learning Accurate Low-Bit Deep Neural Networks with Stochastic
  Quantization

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization

3 August 2017
Yinpeng Dong
Renkun Ni
Jianguo Li
Yurong Chen
Jun Zhu
Hang Su
    MQ
ArXivPDFHTML

Papers citing "Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization"

10 / 10 papers shown
Title
Improving Robustness Against Adversarial Attacks with Deeply Quantized
  Neural Networks
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
36
54
0
17 Aug 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
16
19
0
13 Jul 2022
Why Quantization Improves Generalization: NTK of Binary Weight Neural
  Networks
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks
Kaiqi Zhang
Ming Yin
Yu-Xiang Wang
MQ
16
4
0
13 Jun 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Yichi Zhang
Zhiru Zhang
Lukasz Lew
MQ
33
57
0
30 Nov 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
20
18
0
16 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
16
38
0
20 Mar 2021
Accurate and Compact Convolutional Neural Networks with Trained
  Binarization
Accurate and Compact Convolutional Neural Networks with Trained Binarization
Zhe Xu
R. Cheung
MQ
19
54
0
25 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
26
44
0
10 Aug 2019
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
316
1,047
0
10 Feb 2017
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