SurgeNAS: a comprehensive surgery on hardware-aware differentiable neural architecture search

SurgeNAS: a comprehensive surgery on hardware-aware differentiable neural architecture search

Differentiable neural architecture search (NAS) is an emerging paradigm to automate the design of top-performing convolutional neural networks (CNNs). However, previous differentiable NAS methods suffer from several crucial weaknesses, such as inaccurate gradient estimation, high memory consumption,...

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書目詳細資料
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:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Neural Architecture Search Hardware Performance Prediction
在線閱讀:	https://hdl.handle.net/10356/165388
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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