research
∙
07/18/2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
For real-world language applications, detecting an out-of-distribution (...
share
research
∙
02/13/2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
While pre-trained language models (PLMs) have become a de-facto standard...
research
∙
10/21/2020
Deep learning-based citation recommendation system for patents
In this study, we address the challenges in developing a deep learning-b...
research
∙
09/29/2020
Machine-Learning Approach to Analyze the Status of Forklift Vehicles with Irregular Movement in a Shipyard
In large shipyards, the management of equipment, which are used for buil...
research
∙
03/15/2019
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
With the tremendous growth in the number of scientific papers being publ...
research
∙
03/14/2019
Deep Patent Landscaping Model Using Transformer and Graph Embedding
Patent landscaping is a method used for searching related patents during...
research
∙
03/14/2019
A Deep Patent Landscaping Model using Transformer and Graph Embedding
Patent landscaping is a method that is employed for searching related pa...
research
∙
03/14/2019
A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network
Patent landscaping is a method that is employed for searching related pa...
research
∙
01/28/2019
Hybrid Machine Learning Approach to Popularity Prediction of Newly Released Contents for Online Video Streaming Service
In the industry of video content providers such as VOD and IPTV, predict...
research
∙
08/12/2018