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Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

22 September 2016
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
    MQ
ArXivPDFHTML

Papers citing "Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations"

50 / 301 papers shown
Title
Constructing Energy-efficient Mixed-precision Neural Networks through
  Principal Component Analysis for Edge Intelligence
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
I. Chakraborty
Deboleena Roy
Isha Garg
Aayush Ankit
Kaushik Roy
24
37
0
04 Jun 2019
Mixed Precision Training With 8-bit Floating Point
Mixed Precision Training With 8-bit Floating Point
Naveen Mellempudi
Sudarshan Srinivasan
Dipankar Das
Bharat Kaul
MQ
18
69
0
29 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Xiaocong Du
Zheng Li
Yu Cao
VLM
21
10
0
27 May 2019
Mixed Precision DNNs: All you need is a good parametrization
Mixed Precision DNNs: All you need is a good parametrization
Stefan Uhlich
Lukas Mauch
Fabien Cardinaux
K. Yoshiyama
Javier Alonso García
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
27
38
0
27 May 2019
Natural Compression for Distributed Deep Learning
Natural Compression for Distributed Deep Learning
Samuel Horváth
Chen-Yu Ho
L. Horvath
Atal Narayan Sahu
Marco Canini
Peter Richtárik
21
151
0
27 May 2019
Feature Map Transform Coding for Energy-Efficient CNN Inference
Feature Map Transform Coding for Energy-Efficient CNN Inference
Brian Chmiel
Chaim Baskin
Ron Banner
Evgenii Zheltonozhskii
Yevgeny Yermolin
Alex Karbachevsky
A. Bronstein
A. Mendelson
25
24
0
26 May 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural
  Networks
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte
Pascal Germain
Benjamin Guedj
Franccois Laviolette
MQ
AI4CE
UQCV
28
54
0
24 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Zero-shot Knowledge Transfer via Adversarial Belief Matching
P. Micaelli
Amos Storkey
19
228
0
23 May 2019
Multi-layered Spiking Neural Network with Target Timestamp Threshold
  Adaptation and STDP
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
21
49
0
03 Apr 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
63
507
0
03 Apr 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural
  Networks for Image Classification
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
30
80
0
13 Mar 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
16
0
0
27 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by
  Dynamic Sparse Reparameterization
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
37
307
0
15 Feb 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
Justice Amoh
K. Odame
29
17
0
13 Feb 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
19
23
0
02 Feb 2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural
  Networks Enabling Intelligence at the Edge
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge
I. Chakraborty
Deboleena Roy
Aayush Ankit
Kaushik Roy
GNN
MQ
30
13
0
01 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier
  Channel Splitting
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
OODD
MQ
50
305
0
28 Jan 2019
QGAN: Quantized Generative Adversarial Networks
QGAN: Quantized Generative Adversarial Networks
Peiqi Wang
Dongsheng Wang
Yu Ji
Xinfeng Xie
Haoxuan Song
XuXin Liu
Yongqiang Lyu
Yuan Xie
GAN
MQ
18
32
0
24 Jan 2019
Backprop with Approximate Activations for Memory-efficient Network
  Training
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti
Benjamin Moseley
16
37
0
23 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of
  DNNs
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
Mohammad Samragh
Mojan Javaheripi
F. Koushanfar
32
11
0
17 Jan 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent
  Plasticity: How Far are we from Traditional Feature Learning Approaches?
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
SSL
26
32
0
14 Jan 2019
A Distributed Synchronous SGD Algorithm with Global Top-$k$
  Sparsification for Low Bandwidth Networks
A Distributed Synchronous SGD Algorithm with Global Top-kkk Sparsification for Low Bandwidth Networks
S. Shi
Qiang-qiang Wang
Kaiyong Zhao
Zhenheng Tang
Yuxin Wang
Xiang Huang
Xiaowen Chu
40
135
0
14 Jan 2019
DSConv: Efficient Convolution Operator
DSConv: Efficient Convolution Operator
Marcelo Gennari
Roger Fawcett
V. Prisacariu
MQ
32
62
0
07 Jan 2019
Precision Highway for Ultra Low-Precision Quantization
Precision Highway for Ultra Low-Precision Quantization
Eunhyeok Park
Dongyoung Kim
S. Yoo
Peter Vajda
MQ
AI4TS
21
12
0
24 Dec 2018
Proximal Mean-field for Neural Network Quantization
Proximal Mean-field for Neural Network Quantization
Thalaiyasingam Ajanthan
P. Dokania
Richard I. Hartley
Philip Torr
MQ
38
20
0
11 Dec 2018
Knowledge Distillation with Feature Maps for Image Classification
Knowledge Distillation with Feature Maps for Image Classification
Wei-Chun Chen
Chia-Che Chang
Chien-Yu Lu
Che-Rung Lee
29
35
0
03 Dec 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
29
392
0
28 Nov 2018
Dense xUnit Networks
Dense xUnit Networks
I. Kligvasser
T. Michaeli
21
3
0
27 Nov 2018
Efficient non-uniform quantizer for quantized neural network targeting
  reconfigurable hardware
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware
Natan Liss
Chaim Baskin
A. Mendelson
A. Bronstein
Raja Giryes
MQ
24
5
0
27 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and
  Semantic Segmentation
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
27
152
0
22 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks
QUENN: QUantization Engine for low-power Neural Networks
Miguel de Prado
Maurizio Denna
Luca Benini
Nuria Pazos
MQ
35
14
0
14 Nov 2018
Online Embedding Compression for Text Classification using Low Rank
  Matrix Factorization
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya
Rahul Goel
A. Metallinou
Inderjit Dhillon
25
58
0
01 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma
  Distribution
Convolutional Neural Network Quantization using Generalized Gamma Distribution
Doyun Kim
H. Yim
Sanghyuck Ha
Changgwun Lee
Inyup Kang
MQ
24
4
0
31 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao
Bryon Aragam
Bingjing Zhang
Eric Xing
26
41
0
17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks
Quantization for Rapid Deployment of Deep Neural Networks
J. Lee
Sangwon Ha
Saerom Choi
Won-Jo Lee
Seungwon Lee
MQ
14
48
0
12 Oct 2018
Training Deep Neural Network in Limited Precision
Training Deep Neural Network in Limited Precision
Hyunsun Park
J. Lee
Youngmin Oh
Sangwon Ha
Seungwon Lee
19
9
0
12 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on
  FPGA
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
Cheng Fu
Shilin Zhu
Hao Su
Ching-En Lee
Jishen Zhao
MQ
25
31
0
04 Oct 2018
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
36
131
0
03 Oct 2018
To compress or not to compress: Understanding the Interactions between
  Adversarial Attacks and Neural Network Compression
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Ross J. Anderson
AAML
11
43
0
29 Sep 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
24
123
0
10 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
Lei Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
43
40
0
04 Sep 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals
  with Task Loss
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
S. Jung
Changyong Son
Seohyung Lee
JinWoo Son
Youngjun Kwak
Jae-Joon Han
Sung Ju Hwang
Changkyu Choi
MQ
25
372
0
17 Aug 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural
  Networks
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Penghang Yin
Shuai Zhang
J. Lyu
Stanley Osher
Y. Qi
Jack Xin
MQ
44
61
0
15 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision
  Activations
Training Compact Neural Networks with Binary Weights and Low Precision Activations
Bohan Zhuang
Chunhua Shen
Ian Reid
MQ
13
14
0
08 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wei Liu
K. Cheng
MQ
46
550
0
01 Aug 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human
  Activity Recognition
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
Zhan Yang
Osolo Ian Raymond
Chengyuan Zhang
Ying Wan
J. Long
CVBM
42
36
0
31 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi
P. Chuang
Zhuo Wang
Swagath Venkataramani
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
16
75
0
17 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable
  Precision LSTM Networks on FPGAs
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs
Vladimir Rybalkin
Alessandro Pappalardo
M. M. Ghaffar
Giulio Gambardella
Norbert Wehn
Michaela Blott
19
72
0
11 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
Julian Faraone
Nicholas J. Fraser
Michaela Blott
Philip H. W. Leong
MQ
33
133
0
01 Jul 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
30
135
0
20 Jun 2018
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