no code implementations • 21 Dec 2018 • Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung-Kwon Lee, Tae-Yoon Kim
When training a machine learning model with observational data, it is often encountered that some values are systemically missing.
no code implementations • 11 Jun 2018 • Jaehong Kim, Sangyeul Lee, Sungwan Kim, Moonsu Cha, Jung Kwon Lee, Youngduck Choi, Yongseok Choi, Dong-Yeon Cho, Jiwon Kim
Fully automating machine learning pipelines is one of the key challenges of current artificial intelligence research, since practical machine learning often requires costly and time-consuming human-powered processes such as model design, algorithm development, and hyperparameter tuning.
no code implementations • 31 Jul 2017 • Taeksoo Kim, Byoungjip Kim, Moonsu Cha, Jiwon Kim
To address the issue, we propose an unsupervised method to learn to transfer visual attribute.
19 code implementations • ICML 2017 • Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim
While humans easily recognize relations between data from different domains without any supervision, learning to automatically discover them is in general very challenging and needs many ground-truth pairs that illustrate the relations.
Ranked #10 on Facial Expression Translation on CelebA