Abhyuday Jagannatha

According to our database1, Abhyuday Jagannatha authored at least 18 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Object-aware Cropping for Self-Supervised Learning.
Trans. Mach. Learn. Res., 2022

Differentially Private Federated Continual Learning with Heterogeneous Cohort Privacy.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Object-Aware Cropping for Self-Supervised Learning.
CoRR, 2021

Membership Inference Attack Susceptibility of Clinical Language Models.
CoRR, 2021

Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy.
CoRR, 2021

2020
Towards Automatic Generation of Questions from Long Answers.
CoRR, 2020

Improved Pretraining for Domain-specific Contextual Embedding Models.
CoRR, 2020

Inferring ADR causality by predicting the Naranjo Score from Clinical Notes.
Proceedings of the AMIA 2020, 2020

Calibrating Structured Output Predictors for Natural Language Processing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Active Learning for New Domains in Natural Language Understanding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2017
A hybrid Neural Network Model for Joint Prediction of Medical Presence and Period Assertions in Clinical Notes.
Proceedings of the AMIA 2017, 2017

2016
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances.
CoRR, 2016

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records.
CoRR, 2016

Ranking medical jargon in electronic health record notes by adapted distant supervision.
CoRR, 2016

Bidirectional RNN for Medical Event Detection in Electronic Health Records.
Proceedings of the NAACL HLT 2016, 2016

Structured prediction models for RNN based sequence labeling in clinical text.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Mining and Ranking Biomedical Synonym Candidates from Wikipedia.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2010
Pose invariant face recognition based on hybrid-global linear regression.
Neural Comput. Appl., 2010


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