Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization

Zhao Yang, Shengbing Zhang, Ruxu Li, Chuxi Li, Miao Wang, Danghui Wang, Meng Zhang

Open source

DOI
10.3390/s21020444
Published
2021-01-10
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s21020444,
  title = {Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization},
  author = {Zhao Yang and Shengbing Zhang and Ruxu Li and Chuxi Li and Miao Wang and Danghui Wang and Meng Zhang},
  year = {2021},
  journal = {Sensors},
  doi = {10.3390/s21020444},
  url = {https://doi.org/10.3390/s21020444}
}

RIS

TY  - JOUR
TI  - Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization
AU  - Zhao Yang
AU  - Shengbing Zhang
AU  - Ruxu Li
AU  - Chuxi Li
AU  - Miao Wang
AU  - Danghui Wang
AU  - Meng Zhang
PY  - 2021
JO  - Sensors
DO  - 10.3390/s21020444
UR  - https://doi.org/10.3390/s21020444
ER  - 

APA

Yang, Z., Zhang, S., Li, R., Li, C., Wang, M., Wang, D., & Zhang, M. (2021). Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization. Sensors. https://doi.org/10.3390/s21020444

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