Neural Architecture Transfer

Neural architecture search (NAS) has emerged as a promising avenue for automatically designing task-specific neural networks. Existing NAS approaches require one complete search for each deployment specification of hardware or objective. This is a computationally impractical endeavor given the poten...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 43; no. 9; pp. 2971 - 2989
Main Authors:	Lu, Zhichao, Sreekumar, Gautam, Goodman, Erik, Banzhaf, Wolfgang, Deb, Kalyanmoy, Boddeti, Vishnu Naresh
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	AutoML Computational modeling Computer architecture Convolutional neural networks Datasets evolutionary algorithms Image classification Learning neural architecture search Neural networks Predictive models Search problems Searching Task analysis Training transfer learning
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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