Scalable reinforcement-learning-based neural architecture search for cancer deep learning research-Reference-Cited by-同舟云学术

Scalable reinforcement-learning-based neural architecture search for cancer deep learning research

Published:2019-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
Short-container-title:

Author:

Balaprakash Prasanna¹,Egele Romain¹,Salim Misha¹,Wild Stefan¹,Vishwanath Venkatram¹,Xia Fangfang¹,Brettin Tom¹,Stevens Rick¹

Affiliation:

1. Argonne National Laboratory

Funder

U.S. Department of Energy (DOE)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3295500.3356202

Reference89 articles.

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2. [n. d.]. Combo Benchmark. https://github.com/ECP-CANDLE/Benchmarks/tree/master/Pilot1/Combo [n. d.]. Combo Benchmark. https://github.com/ECP-CANDLE/Benchmarks/tree/master/Pilot1/Combo

3. [n. d.]. An End-to-End AutoML Solution for Tabular Data at KaggleDays. https://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html [n. d.]. An End-to-End AutoML Solution for Tabular Data at KaggleDays. https://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html

4. [n. d.]. Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer. https://candle.cels.anl.gov [n. d.]. Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer. https://candle.cels.anl.gov

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