Publication Details

NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks

MARCHISIO Alberto, MASSA Andrea, MRÁZEK Vojtěch, BUSSOLINO Beatrice, MARTINA Mauricio and SHAFIQUE Muhammad. NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. In: IEEE/ACM International Conference on Computer-Aided Design (ICCAD '20). Virtual Event: Association for Computing Machinery, 2020, pp. 1-9. ISBN 978-1-4503-8026-3. Available from: https://arxiv.org/abs/2008.08476
Czech title
NASCaps: Nástroj pro hledání architektury neuronových sítí pro optimalizaci hardwarové efektivnosti a přesnosti pro konvoluční kapsulové sítě
Type
conference paper
Language
english
Authors
Marchisio Alberto (TU-Wien)
Massa Andrea (POLITO)
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT)
Bussolino Beatrice (POLITO)
Martina Mauricio (POLITO)
Shafique Muhammad (TU-Wien)
URL
Keywords

Deep Neural Networks, DNNs, Capsule Networks, Evolutionary Algorithms, Genetic Algorithms, Neural Architecture Search, Hardware Accelerators, Accuracy, Energy Efficiency, Memory, Latency, Design Space, Multi-Objective, Optimization.

Published
2020
Pages
1-9
Proceedings
IEEE/ACM International Conference on Computer-Aided Design (ICCAD '20)
Conference
IEEE/ACM International Conference On Computer-Aided Design, Virtual Conference, US
ISBN
978-1-4503-8026-3
Publisher
Association for Computing Machinery
Place
Virtual Event, US
DOI
10.1145/3400302.3415731
UT WoS
000671087100096
EID Scopus
2-s2.0-85097942672
BibTeX 
@INPROCEEDINGS{FITPUB12319,
   author = "Alberto Marchisio and Andrea Massa and Vojt\v{e}ch Mr\'{a}zek and Beatrice Bussolino and Mauricio Martina and Muhammad Shafique",
   title = "NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks",
   pages = "1--9",
   booktitle = "IEEE/ACM International Conference on Computer-Aided Design (ICCAD '20)",
   year = 2020,
   location = "Virtual Event, US",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-8026-3",
   doi = "10.1145/3400302.3415731",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12319"
}
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