Rheeya Uppaal

2019202020212022202320241 5 12 16 32 14

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Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Kalpesh KrishnaResearch Scientist, GoogleVerified email at google.com
Haw-Shiuan ChangAmazon.comVerified email at amazon.com
Rajarshi DasAWS AI LabsVerified email at cs.washington.edu
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Sharon Yixuan LiUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Madalina FiterauAssistant Professor, University of Massachusetts, AmherstVerified email at cs.stanford.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonVerified email at wisc.edu
Ananya KumarResearch Scientist, OpenAIVerified email at cs.stanford.edu

Rheeya Uppaal

Verified email at cs.wisc.edu - Homepage


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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	41*	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	22*	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	10	2023
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	6	2019
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	1	2023
Exploring robust vehicle detection and tracking methods for various illumination settings using infrared thermographic images R Uppaal Int. J. Res. Advent Technol, 2016	1	2016
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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