64 citations · 110 across the 8 of their papers we have counts for
8 papers
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Jaeyoung Kim, Kyuheon Jung, Dongbin Na +3
For real-world language applications, detecting an out-of-distribution (OOD) sample is helpful to alert users or reject such unreliable samples. However, modern over-parameterized…
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Jaeyoung Kim, Dongbin Na, Sungchul Choi +1
While pre-trained language models (PLMs) have become a de-facto standard promoting the accuracy of text classification tasks, recent studies find that PLMs often predict over-confi…
Deep learning-based citation recommendation system for patents
Jaewoong Choi, Sion Jang, Jaeyoung Kim +3
In this study, we address the challenges in developing a deep learning-based automatic patent citation recommendation system. Although deep learning-based recommendation systems ha…
Machine-Learning Approach to Analyze the Status of Forklift Vehicles with Irregular Movement in a Shipyard
Hyeonju Lee, Jongho Lee, Minji An +2
In large shipyards, the management of equipment, which are used for building a variety of ships, is critical. Because orders vary year to year, shipyard managers are required to de…
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
Chanwoo Jeong, Sion Jang, Hyuna Shin +2
With the tremendous growth in the number of scientific papers being published, searching for references while writing a scientific paper is a time-consuming process. A technique th…
Deep Patent Landscaping Model Using Transformer and Graph Embedding
Seokkyu Choi, Hyeonju Lee, Eunjeong Lucy Park +1
Patent landscaping is a method used for searching related patents during a research and development (R&D) project. To avoid the risk of patent infringement and to follow current tr…
Hybrid Machine Learning Approach to Popularity Prediction of Newly Released Contents for Online Video Streaming Service
Hongjun Jeon, Wonchul Seo, Eunjeong Lucy Park +1
In the industry of video content providers such as VOD and IPTV, predicting the popularity of video contents in advance is critical not only from a marketing perspective but also f…
Text Classification using Capsules
Jaeyoung Kim, Sion Jang, Sungchul Choi +1
This paper presents an empirical exploration of the use of capsule networks for text classification. While it has been shown that capsule networks are effective for image classific…