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ORCIDAbhyuday Jagannatha
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Journal Articles
- 2022
[j2]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)- 2010
- [j1]Abhishek Sharma, Anamika Dubey
, Abhyuday N. Jagannatha, R. S. Anand:
Pose invariant face recognition based on hybrid-global linear regression. Neural Comput. Appl. 19(8): 1227-1235 (2010)
Conference and Workshop Papers
- 2022
- [c8]Ajesh Koyatan Chathoth, Clark P. Necciai, Abhyuday Jagannatha, Stephen Lee:
Differentially Private Federated Continual Learning with Heterogeneous Cohort Privacy. IEEE Big Data 2022: 5682-5691 - 2020
- [c7]Abhyuday Jagannatha, Hong Yu:
Calibrating Structured Output Predictors for Natural Language Processing. ACL 2020: 2078-2092 - [c6]Bhanu Pratap Singh Rawat, Abhyuday Jagannatha, Feifan Liu, Hong Yu:
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. AMIA 2020 - 2019
- [c5]Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas:
Active Learning for New Domains in Natural Language Understanding. NAACL-HLT (2) 2019: 90-96 - 2017
- [c4]Rumeng Li, Abhyuday Jagannatha, Hong Yu:
A hybrid Neural Network Model for Joint Prediction of Medical Presence and Period Assertions in Clinical Notes. AMIA 2017 - 2016
- [c3]Abhyuday Jagannatha, Hong Yu:
Structured prediction models for RNN based sequence labeling in clinical text. EMNLP 2016: 856-865 - [c2]Abhyuday N. Jagannatha, Hong Yu:
Bidirectional RNN for Medical Event Detection in Electronic Health Records. HLT-NAACL 2016: 473-482 - 2015
- [c1]Abhyuday Jagannatha, Jinying Chen, Hong Yu:
Mining and Ranking Biomedical Synonym Candidates from Wikipedia. Louhi@EMNLP 2015: 142-151
Informal and Other Publications
- 2021
- [i11]Ajesh Koyatan Chathoth, Abhyuday Jagannatha, Stephen Lee:
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy. CoRR abs/2101.09878 (2021) - [i10]Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu:
Membership Inference Attack Susceptibility of Clinical Language Models. CoRR abs/2104.08305 (2021) - [i9]Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. CoRR abs/2112.00319 (2021) - 2020
- [i8]Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu:
Improved Pretraining for Domain-specific Contextual Embedding Models. CoRR abs/2004.02288 (2020) - [i7]Abhyuday Jagannatha, Hong Yu:
Calibrating Structured Output Predictors for Natural Language Processing. CoRR abs/2004.04361 (2020) - [i6]Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. CoRR abs/2004.05109 (2020) - 2018
- [i5]Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas:
Active Learning for New Domains in Natural Language Understanding. CoRR abs/1810.03450 (2018) - 2016
- [i4]Abhyuday Jagannatha, Hong Yu:
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records. CoRR abs/1606.07953 (2016) - [i3]Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu:
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. CoRR abs/1606.07993 (2016) - [i2]Abhyuday Jagannatha, Hong Yu:
Structured prediction models for RNN based sequence labeling in clinical text. CoRR abs/1608.00612 (2016) - [i1]Jinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad, Hong Yu:
Ranking medical jargon in electronic health record notes by adapted distant supervision. CoRR abs/1611.04491 (2016)
Coauthor Index
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