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Method for Expanding Search Space With Hybrid Operations in DynamicNAS

Recently, a novel neural architecture search method, which is referred to as DynamicNAS (Dynamic Neural Architecture Search) in this paper, has shown great potential. Not only can various sizes of models be trained with a single training session through DynamicNAS, but the subnets trained by Dynamic...

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Bibliografische gegevens
Hoofdauteurs: Iksoo Shin, Changsik Cho, Seon-Tae Kim
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2024-01-01
Reeks:IEEE Access
Onderwerpen:
Online toegang:https://ieeexplore.ieee.org/document/10382520/
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