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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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: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Neural Architecture Search
Hardware Performance Prediction
Online Access:https://hdl.handle.net/10356/165388

Internet

https://hdl.handle.net/10356/165388

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