AutoML: A survey of the state-of-the-art

Deep learning (DL) techniques have obtained remarkable achievements on various tasks, such as image recognition, object detection, and language modeling. However, building a high-quality DL system for a specific task highly relies on human expertise, hindering its wide application. Meanwhile, automa...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 212; p. 106622
Main Authors:	He, Xin, Zhao, Kaiyong, Chu, Xiaowen
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 05.01.2021 Elsevier Science Ltd
Subjects:	Algorithms Automated machine learning (autoML) Deep learning Hyperparameter optimization (HPO) Language modeling Machine learning Neural architecture search (NAS) Object recognition Optimization State-of-the-art reviews Deep learning Neural architecture search (NAS) Automated machine learning (autoML) Hyperparameter optimization (HPO)
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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