Evolutionary neural AutoML for deep learning-Reference-Cited by-同舟云学术

Evolutionary neural AutoML for deep learning

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Liang Jason¹,Meyerson Elliot¹,Hodjat Babak¹,Fink Dan¹,Mutch Karl¹,Miikkulainen Risto¹

Affiliation:

1. The University of Texas at Austin

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3321707.3321721

Reference55 articles.

1. 2019. Amazon Web Services (AWS) - Cloud Computing Services. aws.amazon.com. (2019). 2019. Amazon Web Services (AWS) - Cloud Computing Services. aws.amazon.com. (2019).

2. 2019. Google Cloud. cloud.google.com. (2019). 2019. Google Cloud. cloud.google.com. (2019).

3. 2019. Jigsaw Toxic Comment Classification Challenge. kaggle.com/jigsaw-toxic-comment-classification-challenge. (2019). 2019. Jigsaw Toxic Comment Classification Challenge. kaggle.com/jigsaw-toxic-comment-classification-challenge. (2019).

4. 2019. Metric Optimization Engine. https://github.com/Yelp/MOE. (2019). 2019. Metric Optimization Engine. https://github.com/Yelp/MOE. (2019).

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement learning for multi-objective AutoML in vision-based structural health monitoring;Automation in Construction;2024-10

2. Adaptive Optimization of Hyper-Parameters for Robotic Manipulation through Evolutionary Reinforcement Learning;Journal of Intelligent & Robotic Systems;2024-07-24

3. Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

4. Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

5. Platform power in AI: The evolution of cloud infrastructures in the political economy of artificial intelligence;Internet Policy Review;2024-06-26