380 citations · 504 across the 16 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 380 cited
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo +1
Generative Adversarial Networks (GAN) have received wide attention in the machine learning field for their potential to learn high-dimensional, complex real data distribution. Spec…
cs.LG2017★ 15 cited
Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data
Uiwon Hwang, Sungwoon Choi, Han-Byoel Lee +1
Electronic health records (EHRs) have contributed to the computerization of patient records and can thus be used not only for efficient and systematic medical services, but also fo…