380 citations · 419 across the 8 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 7 cited
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…
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.IR2017★ 8 cited
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
Jaeyoon Yoo, Heonseok Ha, Jihun Yi +5
Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user. Towards this goal, energy-…