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Sharpness-aware Quantization for Deep Neural Networks

Sharpness-aware Quantization for Deep Neural Networks

24 November 2021
Jing Liu
Jianfei Cai
Bohan Zhuang
    MQ
ArXivPDFHTML

Papers citing "Sharpness-aware Quantization for Deep Neural Networks"

13 / 13 papers shown
Title
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
AdaQAT: Adaptive Bit-Width Quantization-Aware Training
Cédric Gernigon
Silviu-Ioan Filip
Olivier Sentieys
Clément Coggiola
Mickael Bruno
13
2
0
22 Apr 2024
Lookbehind-SAM: k steps back, 1 step forward
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido
Pranshu Malviya
A. Baratin
Sarath Chandar
AAML
29
1
0
31 Jul 2023
Patch-wise Mixed-Precision Quantization of Vision Transformer
Patch-wise Mixed-Precision Quantization of Vision Transformer
Junrui Xiao
Zhikai Li
Lianwei Yang
Qingyi Gu
MQ
14
12
0
11 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
74
31
0
28 Apr 2023
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More
  Compressible Models
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models
Clara Na
Sanket Vaibhav Mehta
Emma Strubell
51
19
0
25 May 2022
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
101
70
0
21 Mar 2022
Towards Mixed-Precision Quantization of Neural Networks via Constrained
  Optimization
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
Weihan Chen
Peisong Wang
Jian Cheng
MQ
24
60
0
13 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural
  Networks
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Joey Tianyi Zhou
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
99
132
0
07 Oct 2021
I-BERT: Integer-only BERT Quantization
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
86
332
0
05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai
Wei Zhang
Lu Hou
Lifeng Shang
Jing Jin
Xin Jiang
Qun Liu
Michael Lyu
Irwin King
MQ
138
183
0
31 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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