Trainless model performance estimation based on random weights initialisations for neural architecture search
Neural architecture search has become an indispensable part of the deep learning field. Modern methods allow to find one of the best performing architectures, or to build one from scratch, but they typically make decisions based on the trained accuracy information. In the present article we explore...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Array |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005621000308 |