Why do masked neural language models still need common sense knowledge? S Kwon, C Kang, J Han, J Choi arXiv preprint arXiv:1911.03024, 2019 | 18 | 2019 |
Rarity score: A new metric to evaluate the uncommonness of synthesized images J Han, H Choi, Y Choi, J Kim, JW Ha, J Choi arXiv preprint arXiv:2206.08549, 2022 | 13 | 2022 |
Automatic correction of internal units in generative neural networks A Tousi, H Jeong, J Han, H Choi, J Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
Confirmatory bayesian online change point detection in the covariance structure of gaussian processes J Han, K Lee, A Tong, J Choi arXiv preprint arXiv:1905.13168, 2019 | 7 | 2019 |
An unsupervised way to understand artifact generating internal units in generative neural networks H Jeong, J Han, J Choi Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1052-1059, 2022 | 2 | 2022 |
SAIL (UNIST) team Participation in KBP 2016 Cold-Start Slot filling. S Lim, J Han, K Lee, J Choi TAC, 2016 | 1 | 2016 |
지식베이스 확장을 위한 자동 관계 추출 SU Im, JY Han, GU Lee, JS Choe Communications of the Korean Institute of Information Scientists and …, 2016 | 1 | 2016 |
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering? S Kwon, C Kang, J Han, J Choi arXiv preprint arXiv:2209.00599, 2022 | | 2022 |
Determining Changes in the Covariance Structure of Gaussian Processes J Han Graduate School of UNIST, 2020 | | 2020 |