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Bitwidth-Adaptive Quantization-Aware Neural Network Training: A
  Meta-Learning Approach

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

20 July 2022
Jiseok Youn
Jaehun Song
Hyung-Sin Kim
S. Bahk
    MQ
ArXivPDFHTML

Papers citing "Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach"

6 / 6 papers shown
Title
MetaAug: Meta-Data Augmentation for Post-Training Quantization
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham
Hoang Anh Dung
Cuong C. Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
MQ
44
0
0
20 Jul 2024
One Model for All Quantization: A Quantized Network Supporting Hot-Swap
  Bit-Width Adjustment
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
Qigong Sun
Xiufang Li
Yan Ren
Zhongjian Huang
Xu Liu
L. Jiao
Fang Liu
MQ
21
5
0
04 May 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
675
0
24 Jan 2021
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1