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 or Workshop Item
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/165387
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Institution: Nanyang Technological University
Language: English

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