3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
X-ViT: High Performance Linear Vision Transformer without Softmax
Jeonggeun Song, Heung-Chang Lee
Vision transformers have become one of the most important models for computer vision tasks. Although they outperform prior works, they require heavy computational resources on a sc…
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…