1 code implementation • 20 Mar 2023 • Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee
To improve the diversity of the whole-body object construction, we develop an iterative method that stochastically combines multiple objects observed from the real world into a single object.
1 code implementation • 7 Feb 2022 • Hyunghun Cho, Jungwook Shin, Wonjong Rhee
The early pioneering Neural Architecture Search (NAS) works were multi-trial methods applicable to any general search space.
1 code implementation • NeurIPS19 under review 2019 • Hyunghun Cho, Yongjin Kim, Eunjung Lee, Daeyoung Choi, YongJae lee, Wonjong Rhee
The performance of deep neural networks (DNN) is very sensitive to the particular choice of hyper-parameters.
no code implementations • ICLR 2018 • Daeyoung Choi, Changho Shin, Hyunghun Cho, Wonjong Rhee
Performance of Deep Neural Network (DNN) heavily depends on the characteristics of hidden layer representations.