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,...
Main Authors: | Luo, Xiangzhong, Liu, Di, Kong, Hao, Huai, Shuo, Chen, Hui, Liu, Weichen |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/165388 |
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