Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning-Reference-Cited by-同舟云学术

Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning

Published:2021-05-08 Issue:4 Volume:2 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Dey Sourya^ORCID,Babakniya Sara,Kanala Saikrishna C.,Paolieri Marco,Golubchik Leana,Beerel Peter A.,Chugg Keith M.

Funder

Defense Threat Reduction Agency

National Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-021-00646-0.pdf

Reference43 articles.

1. AWSLabs: AutoGluon: AutoML toolkit for deep learning. https://autogluon.mxnet.io/# (2020). Accessed 1 Jul 2020.

2. Baker B, Gupta O, Naik N, Raskar R. Designing neural network architectures using reinforcement learning. In: Proc. ICLR, 2017.

3. Baker B, Gupta O, Raskar R, Naik N. Accelerating neural architecture search using performance prediction. In: Proc. ICLR, 2017.

4. Baldi P, Sadowski P, Whiteson D. Searching for exotic particles in high-energy physics with deep learning. Nat Commun. 2014;5:4308.

5. Bergstra J, Yamins D, Cox DD. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. In: Proc. ICML, 2013; pp. I-115–I-123.

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