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Verifiable and Energy Efficient Medical Image Analysis with Quantised
  Self-attentive Deep Neural Networks

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks

30 September 2022
Rakshith Sathish
S. Khare
Debdoot Sheet
ArXivPDFHTML

Papers citing "Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks"

3 / 3 papers shown
Title
Aggregating empirical evidence from data strategy studies: a case on model quantization
Aggregating empirical evidence from data strategy studies: a case on model quantization
Santiago del Rey
Paulo Sérgio Medeiros dos Santos
Guilherme Horta Travassos
Xavier Franch
Silverio Martínez-Fernández
MQ
43
0
0
01 May 2025
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
D. Khudia
Jianyu Huang
Protonu Basu
Summer Deng
Haixin Liu
Jongsoo Park
M. Smelyanskiy
FedML
MQ
40
46
0
13 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1