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UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural
  Networks

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks

29 April 2018
Chaim Baskin
Eli Schwartz
Evgenii Zheltonozhskii
Natan Liss
Raja Giryes
A. Bronstein
A. Mendelson
    MQ
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Papers citing "UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks"

25 / 25 papers shown
Title
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning
  Hardware
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware
Lakshmi Nair
D. Bunandar
14
0
0
05 Jun 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
Online Hybrid Lightweight Representations Learning: Its Application to
  Visual Tracking
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung
Minji Kim
Eunhyeok Park
Bohyung Han
24
3
0
23 May 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural
  Networks
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Runpei Dong
Zhanhong Tan
Mengdi Wu
Linfeng Zhang
Kaisheng Ma
MQ
35
11
0
30 Dec 2021
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized
  training approach for DNNs
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
Lorenz Kummer
Kevin Sidak
Tabea Reichmann
Wilfried Gansterer
MQ
27
5
0
28 Jul 2021
Differentiable Model Compression via Pseudo Quantization Noise
Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez
Yossi Adi
Gabriel Synnaeve
DiffM
MQ
18
47
0
20 Apr 2021
Fast Exploration of Weight Sharing Opportunities for CNN Compression
Fast Exploration of Weight Sharing Opportunities for CNN Compression
Etienne Dupuis
D. Novo
Ian O'Connor
A. Bosio
14
1
0
02 Feb 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
150
674
0
24 Jan 2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object
  Detection
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew G. Howard
Marco Fornoni
AAML
MQ
24
7
0
04 Jan 2021
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
20
82
0
08 Dec 2020
FATNN: Fast and Accurate Ternary Neural Networks
FATNN: Fast and Accurate Ternary Neural Networks
Peng Chen
Bohan Zhuang
Chunhua Shen
MQ
6
15
0
12 Aug 2020
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
Eunhyeok Park
S. Yoo
MQ
8
84
0
11 Aug 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision
  Quantization
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
Haibao Yu
Qi Han
Jianbo Li
Jianping Shi
Guangliang Cheng
Bin Fan
MQ
21
61
0
20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
H. Habi
Roy H. Jennings
Arnon Netzer
MQ
29
65
0
20 Jul 2020
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural
  Networks
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
Hassan Dbouk
Hetul Sanghvi
M. Mehendale
Naresh R Shanbhag
MQ
17
9
0
19 Jul 2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing
  Non-uniform Distribution for Deep Neural Networks
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks
Fangxin Liu
Wenbo Zhao
Yanzhi Wang
Changzhi Dai
Li Jiang
MQ
25
3
0
08 Jul 2020
Neural Network Activation Quantization with Bitwise Information
  Bottlenecks
Neural Network Activation Quantization with Bitwise Information Bottlenecks
Xichuan Zhou
Kui Liu
Cong Shi
Haijun Liu
Ji Liu
MQ
27
1
0
09 Jun 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang
Ali Shafiee
Hamzah Abdel-Aziz
D. Thorsley
Georgios Georgiadis
Joseph Hassoun
MQ
17
144
0
31 Jan 2020
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
F. García-Redondo
Shidhartha Das
G. Rosendale
19
5
0
30 Oct 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
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
26
446
0
14 Aug 2019
Fighting Quantization Bias With Bias
Fighting Quantization Bias With Bias
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
25
56
0
07 Jun 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
23
24
0
26 May 2019
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
20
92
0
04 Nov 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
337
1,049
0
10 Feb 2017
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