Zobrazeno 1 - 10
of 787
pro vyhledávání: '"Jieh P"'
Autor:
Lin, Ci-Siang, Liu, I-Jieh, Chen, Min-Hung, Wang, Chien-Yi, Liu, Sifei, Wang, Yu-Chiang Frank
Referring Video Object Segmentation (RVOS) aims to segment the object referred to by the query sentence throughout the entire video. Most existing methods require end-to-end training with dense mask annotations, which could be computation-consuming a
Externí odkaz:
http://arxiv.org/abs/2406.12834
Autor:
Lee, Jieh-Sheng
In this research, patent prosecution is conceptualized as a system of reinforcement learning from human feedback. The objective of the system is to increase the likelihood for a language model to generate patent claims that have a higher chance of be
Externí odkaz:
http://arxiv.org/abs/2406.16897
In patent prosecution, image-based retrieval systems for identifying similarities between current patent images and prior art are pivotal to ensure the novelty and non-obviousness of patent applications. Despite their growing popularity in recent yea
Externí odkaz:
http://arxiv.org/abs/2404.19360
Utilizing multi-view inputs to synthesize novel-view images, Neural Radiance Fields (NeRF) have emerged as a popular research topic in 3D vision. In this work, we introduce a Generalizable Semantic Neural Radiance Field (GSNeRF), which uniquely takes
Externí odkaz:
http://arxiv.org/abs/2403.03608
In patent prosecution, timely and effective responses to Office Actions (OAs) are crucial for securing patents. However, past automation and artificial intelligence research have largely overlooked this aspect. To bridge this gap, our study introduce
Externí odkaz:
http://arxiv.org/abs/2402.00421
Federated Learning (FL) is an emerging paradigm that enables multiple users to collaboratively train a robust model in a privacy-preserving manner without sharing their private data. Most existing approaches of FL only consider traditional single-lab
Externí odkaz:
http://arxiv.org/abs/2312.07165
Autor:
Lee, Jieh-Sheng
This research aims to build generative language models specialized for the legal domain. The manuscript presents the development of LexGPT models based on GPT-J models and pre-trained with Pile of Law. The foundation model built in this manuscript is
Externí odkaz:
http://arxiv.org/abs/2306.05431
Autor:
Yanting Ouyang, Han Yi Lee, Fun Loon Leong, Han Jieh Tey, Vivianne Shih, Elaine Hsuen Lim, Nicholas Graves
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 16 (2024)
Background: Trastuzumab (Herceptin) can be administered intravenously (IV Herceptin) and subcutaneously, with similar efficacy and safety, but with differences in dosage and costs. Previous studies have evaluated the costs of both treatment approache
Externí odkaz:
https://doaj.org/article/03f27213a67e4211a9d6378a7dffd58f
Autor:
Maya Cendana, Ren-Jieh Kuo
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1009-1054 (2024)
Numerous real-world applications apply categorical data clustering to find hidden patterns in the data. The K-modes-based algorithm is a popular algorithm for solving common issues in categorical data, from outlier and noise sensitivity to local opti
Externí odkaz:
https://doaj.org/article/5c4e69efceac4117920cae5a67cb2e82
Autor:
Lee, Jieh-Sheng
Publikováno v:
Volume 362: Legal Knowledge and Information Systems, 2022
Generative patent language models can assist humans to write patent text more effectively. The question is how to measure effectiveness from a human-centric perspective and how to improve effectiveness. In this manuscript, a simplified design of the
Externí odkaz:
http://arxiv.org/abs/2211.09690