Work-in-progress: what to expect of early training statistics? An investigation on hardware-aware neural architecture search

Work-in-progress: what to expect of early training statistics? An investigation on hardware-aware neural architecture search

Neural architecture search (NAS) is an emerging paradigm to automate the design of top-performing deep neural networks (DNNs). Specifically, the increasing success of NAS is attributed to the reliable performance estimation of different architectures. Despite significant progress to date, previous r...

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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: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Neural Architecture Search
Early Training Statistics
Online Access:https://hdl.handle.net/10356/165389

Internet

https://hdl.handle.net/10356/165389

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