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

• Main Authors: Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2023
• 主題: Engineering::Computer science and engineering; Neural Architecture Search; Deep Neural Networks
• 在線閱讀: https://hdl.handle.net/10356/165387
• 機構: Nanyang Technological University

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,...