380 citations · 393 across the 4 of their papers we have counts for
4 papers
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
Jaeyoon Yoo, Changhwa Park, Yongjun Hong +1
Unsupervised domain adaptation aiming to learn a specific task for one domain using another domain data has emerged to address the labeling issue in supervised learning, especially…
Deep Trustworthy Knowledge Tracing
Heonseok Ha, Uiwon Hwang, Yongjun Hong +2
Knowledge tracing (KT), a key component of an intelligent tutoring system, is a machine learning technique that estimates the mastery level of a student based on his/her past perfo…
Domain Adaptation Using Adversarial Learning for Autonomous Navigation
Jaeyoon Yoo, Yongjun Hong, YungKyun Noh +1
Autonomous navigation has become an increasingly popular machine learning application. Recent advances in deep learning have also resulted in great improvements to autonomous navig…
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…