2 papers
cs.LG2022
Proxyless Neural Architecture Adaptation for Supervised Learning and Self-Supervised Learning
Do-Guk Kim, Heung-Chang Lee
Recently, Neural Architecture Search (NAS) methods have been introduced and show impressive performance on many benchmarks. Among those NAS studies, Neural Architecture Transformer…
cs.LG2019
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling
Heung-Chang Lee, Do-Guk Kim, Bohyung Han
We propose a novel neural architecture search algorithm via reinforcement learning by decoupling structure and operation search processes. Our approach samples candidate models fro…