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Rheeya Uppaal
Rheeya Uppaal
University of Wisconsin-Madison
在 cs.wisc.edu 的电子邮件经过验证 - 首页
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Long document summarization in a low resource setting using pretrained language models
A Bajaj, P Dangati, K Krishna, PA Kumar, R Uppaal, B Windsor, E Brenner, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
44*2021
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition
HS Chang, S Vembu, S Mohan, R Uppaal, A McCallum
Machine Learning 109, 1749-1778, 2020
25*2020
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
R Uppaal, J Hu, Y Li
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
142023
Multi-resolution networks for flexible irregular time series modeling (multi-fit)
BP Singh, I Deznabi, B Narasimhan, B Kucharski, R Uppaal, A Josyula, ...
arXiv preprint arXiv:1905.00125, 2019
62019
Evolving domain adaptation of pretrained language models for text classification
YS Chuang, Y Wu, D Gupta, R Uppaal, A Kumar, L Sun, MN Sreedhar, ...
arXiv preprint arXiv:2311.09661, 2023
22023
DeTox: Toxic Subspace Projection for Model Editing
R Uppaal, A De, Y He, Y Zhong, J Hu
arXiv preprint arXiv:2405.13967, 2024
12024
Exploring robust vehicle detection and tracking methods for various illumination settings using infrared thermographic images
R Uppaal
Int. J. Res. Advent Technol, 2016
12016
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
R Uppaal, Y Li, J Hu
arXiv preprint arXiv:2401.17514, 2024
2024
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