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Adaptive quantization with mixed-precision based on low-cost proxy

Adaptive quantization with mixed-precision based on low-cost proxy

27 February 2024
Jing Chen
Qiao Yang
Senmao Tian
Shunli Zhang
    MQ
ArXivPDFHTML

Papers citing "Adaptive quantization with mixed-precision based on low-cost proxy"

13 / 13 papers shown
Title
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution
  Network with Large Input
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
Senmao Tian
Ming Lu
Jiaming Liu
Yandong Guo
Yurong Chen
Shunli Zhang
SupR
MQ
42
11
0
13 Apr 2023
A White Paper on Neural Network Quantization
A White Paper on Neural Network Quantization
Markus Nagel
Marios Fournarakis
Rana Ali Amjad
Yelysei Bondarenko
M. V. Baalen
Tijmen Blankevoort
MQ
72
539
0
15 Jun 2021
One Weight Bitwidth to Rule Them All
One Weight Bitwidth to Rule Them All
Ting-Wu Chin
P. Chuang
Vikas Chandra
Diana Marculescu
MQ
49
25
0
22 Aug 2020
Bayesian Bits: Unifying Quantization and Pruning
Bayesian Bits: Unifying Quantization and Pruning
M. V. Baalen
Christos Louizos
Markus Nagel
Rana Ali Amjad
Ying Wang
Tijmen Blankevoort
Max Welling
MQ
56
114
0
14 May 2020
LSQ+: Improving low-bit quantization through learnable offsets and
  better initialization
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat
Jinwon Lee
Markus Nagel
Tijmen Blankevoort
Nojun Kwak
MQ
62
220
0
20 Apr 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
79
279
0
10 Nov 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
77
526
0
29 Apr 2019
Mixed Precision Quantization of ConvNets via Differentiable Neural
  Architecture Search
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search
Bichen Wu
Yanghan Wang
Peizhao Zhang
Yuandong Tian
Peter Vajda
Kurt Keutzer
MQ
66
273
0
30 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan-Chieh Wang
Zhijian Liu
Chengyue Wu
Ji Lin
Song Han
MQ
121
881
0
21 Nov 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
131
1,015
0
21 Jun 2018
Model compression via distillation and quantization
Model compression via distillation and quantization
A. Polino
Razvan Pascanu
Dan Alistarh
MQ
81
731
0
15 Feb 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
145
3,121
0
15 Dec 2017
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
340
19,634
0
09 Mar 2015
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