no code implementations • 23 Nov 2023 • Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco Lopez-Jimenez, Samuel J. Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve
To address these challenges, we propose HypUC, a framework for imbalanced probabilistic regression in medical time series, making several contributions.
1 code implementation • 12 Aug 2021 • Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
These models are built on the top of transformers, self-supervised learning and transfer learning.
no code implementations • 16 Apr 2021 • Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
We strongly believe there is a need for a survey paper that can provide a comprehensive survey of various transformer-based biomedical pretrained language models (BPLMs).