4 citations · 5 across the 3 of their papers we have counts for
3 papers
quant-ph2023★ 1 cited
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback
Soohyun Park, Won Joon Yun, Chanyoung Park +4
This paper proposes an efficient quantum train engine (EQuaTE), a novel tool for quantum machine learning software which plots gradient variances to check whether our quantum neura…
cs.CV2022★ 4 cited
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification
Youngkee Kim, Won Joon Yun, Youn Kyu Lee +2
In many deep neural network (DNN) applications, the difficulty of gathering high-quality data in the industry field hinders the practical use of DNN. Thus, the concept of transfer…
cs.LG2021
Trends in Neural Architecture Search: Towards the Acceleration of Search
Youngkee Kim, Won Joon Yun, Youn Kyu Lee +2
In modern deep learning research, finding optimal (or near optimal) neural network models is one of major research directions and it is widely studied in many applications. In this…