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

• المؤلفون الرئيسيون: Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Neural Architecture Search; Deep Neural Networks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/165387
• المؤسسة: 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,...