25 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 25 cited
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang +1
As the application of deep learning has expanded to real-world problems with insufficient volume of training data, transfer learning recently has gained much attention as means of…
cs.LG2017★ 1 cited
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
Sejun Park, Yunhun Jang, Andreas Galanis +3
The Gibbs sampler is a particularly popular Markov chain used for learning and inference problems in Graphical Models (GMs). These tasks are computationally intractable in general,…
cs.LG2017★ 2 cited
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok, Sewoong Oh, Yunhun Jang +2
Crowdsourcing platforms emerged as popular venues for purchasing human intelligence at low cost for large volume of tasks. As many low-paid workers are prone to give noisy answers,…