Pose invariant face recognition based on hybrid-global linear regression. - Abhishek Sharma 001; Anamika Dubey; Abhyuday N. Jagannatha; R. S. Anand (Neural Comput. Appl., 2010)

Mining and Ranking Biomedical Synonym Candidates from Wikipedia. - Abhyuday Jagannatha; Jinying Chen; Hong Yu 001 (Louhi@EMNLP, 2015)

Structured prediction models for RNN based sequence labeling in clinical text. - Abhyuday Jagannatha; Hong Yu 001 (EMNLP, 2016)

Bidirectional RNN for Medical Event Detection in Electronic Health Records. - Abhyuday N. Jagannatha; Hong Yu 001 (HLT-NAACL, 2016)

Ranking medical jargon in electronic health record notes by adapted distant supervision. - Jinying Chen; Abhyuday N. Jagannatha; Samah J. Jarad; Hong Yu 001 (CoRR, 2016)

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records. - Abhyuday Jagannatha; Hong Yu 001 (CoRR, 2016)

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. - Feifan Liu; Jinying Chen; Abhyuday Jagannatha; Hong Yu 001 (CoRR, 2016)

A hybrid Neural Network Model for Joint Prediction of Medical Presence and Period Assertions in Clinical Notes. - Rumeng Li; Abhyuday Jagannatha; Hong Yu 001 (AMIA, 2017)

Active Learning for New Domains in Natural Language Understanding. - Stanislav Peshterliev; John Kearney; Abhyuday Jagannatha; Imre Kiss; Spyros Matsoukas (NAACL-HLT (2), 2019)

Calibrating Structured Output Predictors for Natural Language Processing. - Abhyuday Jagannatha; Hong Yu 001 (ACL, 2020)

Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. - Bhanu Pratap Singh Rawat; Abhyuday Jagannatha; Feifan Liu; Hong Yu 001 (AMIA, 2020)

Improved Pretraining for Domain-specific Contextual Embedding Models. - Subendhu Rongali; Abhyuday Jagannatha; Bhanu Pratap Singh Rawat; Hong Yu 001 (CoRR, 2020)

Towards Automatic Generation of Questions from Long Answers. - Shlok Kumar Mishra; Pranav Goel 001; Abhishek Sharma 001; Abhyuday Jagannatha; David W. Jacobs; Hal Daumé III (CoRR, 2020)

Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy. - Ajesh Koyatan Chathoth; Abhyuday Jagannatha; Stephen Lee (CoRR, 2021)

Membership Inference Attack Susceptibility of Clinical Language Models. - Abhyuday Jagannatha; Bhanu Pratap Singh Rawat; Hong Yu 001 (CoRR, 2021)

Object-Aware Cropping for Self-Supervised Learning. - Shlok Mishra; Anshul Shah; Ankan Bansal; Abhyuday Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (CoRR, 2021)

Differentially Private Federated Continual Learning with Heterogeneous Cohort Privacy. - Ajesh Koyatan Chathoth; Clark P. Necciai; Abhyuday Jagannatha; Stephen Lee (IEEE Big Data, 2022)

Object-aware Cropping for Self-Supervised Learning. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Abhyuday N. Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (Trans. Mach. Learn. Res., 2022)