You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms

Benefiting from the search efficiency, differentiable neural architecture search (NAS) has evolved as the most dominant alternative to automatically design competitive deep neural networks (DNNs). We note that DNNs must be executed under strictly hard performance constraints in real-world scenarios,...

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Bibliographic Details
Main Authors: Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Neural Architecture Search
Deep Neural Networks
Online Access:https://hdl.handle.net/10356/165387

Internet

https://hdl.handle.net/10356/165387

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