Search Results for author: Jae-hun Shim

Found 1 papers, 0 papers with code

Core-set Sampling for Efficient Neural Architecture Search

no code implementations8 Jul 2021 Jae-hun Shim, Kyeongbo Kong, Suk-Ju Kang

Neural architecture search (NAS), an important branch of automatic machine learning, has become an effective approach to automate the design of deep learning models.

Neural Architecture Search

Cannot find the paper you are looking for? You can Submit a new open access paper.