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State-of-the-art Techniques in Deep Edge Intelligence

State-of-the-art Techniques in Deep Edge Intelligence

3 August 2020
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
ArXivPDFHTML

Papers citing "State-of-the-art Techniques in Deep Edge Intelligence"

6 / 6 papers shown
Title
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
186
110
0
18 Mar 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
63
604
0
02 Sep 2019
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
48
437
0
06 Apr 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
281
11,677
0
09 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
227
3,681
0
28 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,613
0
19 Feb 2017
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