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  4. Cited By
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights

Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

10 February 2017
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
    MQ
ArXivPDFHTML

Papers citing "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

50 / 464 papers shown
Title
Understanding Straight-Through Estimator in Training Activation
  Quantized Neural Nets
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin
J. Lyu
Shuai Zhang
Stanley Osher
Y. Qi
Jack Xin
MQ
LLMSV
21
305
0
13 Mar 2019
Focused Quantization for Sparse CNNs
Focused Quantization for Sparse CNNs
Yiren Zhao
Xitong Gao
Daniel Bates
Robert D. Mullins
Chengzhong Xu
MQ
15
26
0
07 Mar 2019
Learning low-precision neural networks without Straight-Through
  Estimator(STE)
Learning low-precision neural networks without Straight-Through Estimator(STE)
Z. G. Liu
Matthew Mattina
MQ
19
34
0
04 Mar 2019
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on
  FPGA-based CNN Accelerators
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
Yu Xing
Shuang Liang
Lingzhi Sui
Xijie Jia
Jiantao Qiu
Xin Liu
Yushun Wang
Yu Wang
Yi Shan
33
68
0
20 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou
Feng Guo
Lantao Liu
Minje Kim
Lei Jiang
MQ
19
97
0
15 Feb 2019
Effective Network Compression Using Simulation-Guided Iterative Pruning
Effective Network Compression Using Simulation-Guided Iterative Pruning
Dae-Woong Jeong
Jaehun Kim
Youngseok Kim
Tae-Ho Kim
Myungsu Chae
22
0
0
12 Feb 2019
Same, Same But Different - Recovering Neural Network Quantization Error
  Through Weight Factorization
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
16
85
0
05 Feb 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
14
23
0
02 Feb 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A
  Co-Design Approach
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach
Nitthilan Kanappan Jayakodi
Anwesha Chatterjee
Wonje Choi
J. Doppa
P. Pande
11
27
0
29 Jan 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
33
304
0
28 Jan 2019
Really should we pruning after model be totally trained? Pruning based
  on a small amount of training
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Li Yue
Zhao Weibin
Shang-Te Lin
VLM
9
5
0
24 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been,
  Where We're Going
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang
James J. Davis
Ruizhe Zhao
Ho-Cheung Ng
Xinyu Niu
Wayne Luk
P. Cheung
G. Constantinides
19
59
0
21 Jan 2019
Dataflow-based Joint Quantization of Weights and Activations for Deep
  Neural Networks
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
Xue Geng
Jie Fu
Bin Zhao
Jie Lin
M. Aly
C. Pal
V. Chandrasekhar
MQ
16
5
0
04 Jan 2019
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Shitao Tang
Xue Jiang
Wenqi Shao
Zhanghui Kuang
Wayne Zhang
Yimin Chen
20
20
0
02 Jan 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
X. Lin
Yanzhi Wang
MQ
29
161
0
31 Dec 2018
Studying the Plasticity in Deep Convolutional Neural Networks using
  Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
3DPC
28
31
0
26 Dec 2018
Dynamic Runtime Feature Map Pruning
Dynamic Runtime Feature Map Pruning
Tailin Liang
Lei Wang
Shaobo Shi
C. Glossner
3DPC
19
8
0
24 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision
  Neural Networks
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
M. Park
Xiaofang Xu
C. Brick
MQ
25
8
0
20 Dec 2018
Auto-tuning Neural Network Quantization Framework for Collaborative
  Inference Between the Cloud and Edge
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Guangli Li
Lei Liu
Xueying Wang
Xiao-jun Dong
Peng Zhao
Xiaobing Feng
MQ
22
64
0
16 Dec 2018
Efficient Super Resolution Using Binarized Neural Network
Efficient Super Resolution Using Binarized Neural Network
Yinglan Ma
Hongyu Xiong
Zhe Hu
Lizhuang Ma
MQ
SupR
11
73
0
16 Dec 2018
A Main/Subsidiary Network Framework for Simplifying Binary Neural
  Network
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
Yinghao Xu
Xin Dong
Yudian Li
Hao Su
22
27
0
11 Dec 2018
Trained Rank Pruning for Efficient Deep Neural Networks
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu
Yuxi Li
Shuai Zhang
W. Wen
Botao Wang
Y. Qi
Yiran Chen
Weiyao Lin
H. Xiong
AAML
20
42
0
06 Dec 2018
DNQ: Dynamic Network Quantization
DNQ: Dynamic Network Quantization
Yuhui Xu
Shuai Zhang
Y. Qi
Jiaxian Guo
Weiyao Lin
H. Xiong
MQ
19
6
0
06 Dec 2018
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image
  segmentation
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Jiawei Zhang
Yuzhen Jin
Jilan Xu
Xiaowei Xu
Yanchun Zhang
SSeg
MedIm
AI4CE
22
116
0
02 Dec 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted
  Inference
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
21
198
0
25 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
27
14
0
14 Nov 2018
Tetris: Re-architecting Convolutional Neural Network Computation for
  Machine Learning Accelerators
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators
Hang Lu
Xin Wei
Ning Lin
Guihai Yan
Xiaowei Li
MQ
12
31
0
14 Nov 2018
Iteratively Training Look-Up Tables for Network Quantization
Iteratively Training Look-Up Tables for Network Quantization
Fabien Cardinaux
Stefan Uhlich
K. Yoshiyama
J. A. García
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
14
1
0
13 Nov 2018
Synaptic Strength For Convolutional Neural Network
Synaptic Strength For Convolutional Neural Network
Robert Frank Martorano
Zhao Zhong
Wei Wu
Junjie Yan
CVBM
31
32
0
06 Nov 2018
A Unified Framework of DNN Weight Pruning and Weight
  Clustering/Quantization Using ADMM
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM
David Cortes
Tianyun Zhang
Kaiqi Zhang
Jiayu Li
Jiaming Xie
Yun Liang
Sijia Liu
X. Lin
Yanzhi Wang
MQ
21
45
0
05 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Zechun Liu
Wenhan Luo
Baoyuan Wu
Xin Yang
Wei Liu
K. Cheng
MQ
17
92
0
04 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
9
58
0
01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML
3DPC
22
1,037
0
01 Nov 2018
SplineNets: Continuous Neural Decision Graphs
SplineNets: Continuous Neural Decision Graphs
Cem Keskin
Shahram Izadi
16
11
0
31 Oct 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
14
594
0
28 Oct 2018
Event-triggered Natural Hazard Monitoring with Convolutional Neural
  Networks on the Edge
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer
Timo Farei-Campagna
Akos Pasztor
Reto Da Forno
Tonio Gsell
Jérome Faillettaz
Andreas Vieli
S. Weber
J. Beutel
Lothar Thiele
14
35
0
22 Oct 2018
KTAN: Knowledge Transfer Adversarial Network
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu
Wu Liu
Huadong Ma
Tao Mei
Mingoo Seok
GAN
34
28
0
18 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM
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
Penetrating the Fog: the Path to Efficient CNN Models
Penetrating the Fog: the Path to Efficient CNN Models
Kun Wan
Boyuan Feng
Shu Yang
Yufei Ding
17
0
0
09 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation
Light-Weight RefineNet for Real-Time Semantic Segmentation
Vladimir Nekrasov
Chunhua Shen
Ian Reid
SSeg
VLM
19
147
0
08 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
15
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
30
131
0
03 Oct 2018
Extended Bit-Plane Compression for Convolutional Neural Network
  Accelerators
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators
Lukas Cavigelli
Luca Benini
19
20
0
01 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network
  Quantization
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Chaim Baskin
Natan Liss
Yoav Chai
Evgenii Zheltonozhskii
Eli Schwartz
Raja Giryes
A. Mendelson
A. Bronstein
MQ
9
60
0
29 Sep 2018
Characterising Across-Stack Optimisations for Deep Convolutional Neural
  Networks
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
Jack Turner
José Cano
Valentin Radu
Elliot J. Crowley
Michael F. P. O'Boyle
Amos Storkey
16
40
0
19 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational
  Inference
Discretely Relaxing Continuous Variables for tractable Variational Inference
Trefor W. Evans
P. Nair
BDL
47
0
0
12 Sep 2018
Discovering Low-Precision Networks Close to Full-Precision Networks for
  Efficient Embedded Inference
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
J. McKinstry
S. K. Esser
R. Appuswamy
Deepika Bablani
John V. Arthur
Izzet B. Yildiz
D. Modha
MQ
13
94
0
11 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable
  Regularization
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
27
31
0
01 Sep 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
43
134
0
22 Aug 2018
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