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SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks

SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks

1 July 2018
Julian Faraone
Nicholas J. Fraser
Michaela Blott
Philip H. W. Leong
    MQ
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Papers citing "SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks"

30 / 30 papers shown
Title
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Yifei Gao
Jie Ou
Lei Wang
Fanhua Shang
Jaji Wu
MQ
45
0
0
22 Jul 2024
LLMEasyQuant: Scalable Quantization for Parallel and Distributed LLM Inference
LLMEasyQuant: Scalable Quantization for Parallel and Distributed LLM Inference
Dong Liu
Meng Jiang
MQ
31
12
0
28 Jun 2024
Learning Discrete Weights and Activations Using the Local
  Reparameterization Trick
Learning Discrete Weights and Activations Using the Local Reparameterization Trick
G. Berger
Aviv Navon
Ethan Fetaya
MQ
20
0
0
04 Jul 2023
MobileNMT: Enabling Translation in 15MB and 30ms
MobileNMT: Enabling Translation in 15MB and 30ms
Ye Lin
Xiaohui Wang
Zhexi Zhang
Mingxuan Wang
Tong Xiao
Jingbo Zhu
MQ
25
1
0
07 Jun 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
13
1
0
15 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
27
4
0
07 Nov 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
18
11
0
11 Aug 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
28
11
0
06 Apr 2022
Elastic Significant Bit Quantization and Acceleration for Deep Neural
  Networks
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Cheng Gong
Ye Lu
Kunpeng Xie
Zongming Jin
Tao Li
Yanzhi Wang
MQ
22
7
0
08 Sep 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
673
0
24 Jan 2021
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
24
57
0
07 Oct 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
27
69
0
02 Sep 2020
NASB: Neural Architecture Search for Binary Convolutional Neural
  Networks
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu
Zaid Al-Ars
P. Hofstee
MQ
18
23
0
08 Aug 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
31
27
0
13 Jul 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
45
457
0
31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions
Training Binary Neural Networks with Real-to-Binary Convolutions
Brais Martínez
Jing Yang
Adrian Bulat
Georgios Tzimiropoulos
MQ
11
226
0
25 Mar 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying Chen
Christoph Meinel
MQ
25
91
0
16 Jan 2020
Least squares binary quantization of neural networks
Least squares binary quantization of neural networks
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
MQ
17
32
0
09 Jan 2020
Adaptive Loss-aware Quantization for Multi-bit Networks
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu
Zimu Zhou
Yun Cheng
Lothar Thiele
MQ
30
53
0
18 Dec 2019
Loss Aware Post-training Quantization
Loss Aware Post-training Quantization
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
17
163
0
17 Nov 2019
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
22
200
0
30 Sep 2019
Structured Binary Neural Networks for Image Recognition
Structured Binary Neural Networks for Image Recognition
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Peng Chen
Lingqiao Liu
Ian Reid
MQ
22
17
0
22 Sep 2019
GDRQ: Group-based Distribution Reshaping for Quantization
GDRQ: Group-based Distribution Reshaping for Quantization
Haibao Yu
Tuopu Wen
Guangliang Cheng
Jiankai Sun
Qi Han
Jianping Shi
MQ
25
3
0
05 Aug 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
39
957
0
23 Jul 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
16
355
0
18 Feb 2019
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
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
27
131
0
03 Oct 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
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
313
1,047
0
10 Feb 2017
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