Neural architecture search as sparse supernet

• Main Authors: WU, Y., LIU, A., HUANG, Zhiwu, ZHANG, S., VAN, Gool L.
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2021
• 主題: OS and Networks; Systems Architecture
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/6411; https://ink.library.smu.edu.sg/context/sis_research/article/7414/viewcontent/Neural_architecture_search_as_sparse_supernet.pdf

This paper aims at enlarging the problem of Neural Architecture Search (NAS) from Single-Path and Multi-Path Search to automated Mixed-Path Search. In particular, we model the NAS problem as a sparse supernet using a new continuous architecture representation with a mixture of sparsity constraints....