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07/18/2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
For real-world language applications, detecting an out-of-distribution (...
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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...
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10/21/2020
Deep learning-based citation recommendation system for patents
In this study, we address the challenges in developing a deep learning-b...
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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...
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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...
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03/14/2019
Deep Patent Landscaping Model Using Transformer and Graph Embedding
Patent landscaping is a method used for searching related patents during...
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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...
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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...
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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...
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08/12/2018
