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Learnable Mixed-precision and Dimension Reduction Co-design for
  Low-storage Activation

Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation

16 July 2022
Yu-Shan Tai
Cheng-Yang Chang
Chieh-Fang Teng
AnYeu
A. Wu
ArXivPDFHTML

Papers citing "Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation"

3 / 3 papers shown
Title
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision
  Transformer
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
Y. Tai
An-Yeu Wu
Wu
MQ
21
6
0
26 Jan 2024
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural
  Networks
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
Ahmed T. Elthakeb
Prannoy Pilligundla
Fatemehsadat Mireshghallah
Amir Yazdanbakhsh
H. Esmaeilzadeh
MQ
49
68
0
05 Nov 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1