no code implementations • 18 Jul 2023 • Jaeyoung Kim, Kyuheon Jung, Dongbin Na, Sion Jang, Eunbin Park, Sungchul Choi
The surrogate OOD sample introduced by POE shows a similar representation to ID data, which is most effective in training a rejection network.
1 code implementation • 13 Feb 2023 • Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
We find that the ensemble model overfitted to the training set shows sub-par calibration performance and also observe that PLMs trained with confidence penalty loss have a trade-off between calibration and accuracy.
no code implementations • 21 Oct 2020 • Jaewoong Choi, Sion Jang, Jaeyoung Kim, Jiho Lee, Janghyeok Yoona, Sungchul Choi
In this study, we address the challenges in developing a deep learning-based automatic patent citation recommendation system.
no code implementations • 29 Sep 2020 • Hyeonju Lee, Jong-Ho Lee, Minji An, Gunil Park, Sungchul Choi
We use the DBSCAN and k-means algorithms to identify the area in which a particular forklift is operating and the type of work it is performing.
1 code implementation • 15 Mar 2019 • Chanwoo Jeong, Sion Jang, Hyuna Shin, Eunjeong Park, Sungchul Choi
Many researchers have utilized the text data called the context sentence, which surrounds the citation tag, and the metadata of the target paper to find the appropriate cited research.
no code implementations • 14 Mar 2019 • Seokkyu Choi, Hyeonju Lee, Eunjeong Lucy Park, Sungchul Choi
Patent landscaping is a method used for searching related patents during a research and development (R&D) project.
no code implementations • 28 Jan 2019 • Hongjun Jeon, Wonchul Seo, Eunjeong Lucy Park, Sungchul Choi
Our model uses metadata for contents for prediction, so we use categorical embedding techniques to solve the sparsity of categorical variables and make them learn efficiently for the deep neural net model.
no code implementations • 12 Aug 2018 • Jaeyoung Kim, Sion Jang, Sungchul Choi, Eunjeong Park
This paper presents an empirical exploration of the use of capsule networks for text classification.