Abhyuday Jagannatha | DeepAI

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Featured Co-authors

Hong Yu
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Dilip Krishnan
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Spyros Matsoukas
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∙ 12/01/2021

Object-Aware Cropping for Self-Supervised Learning

A core component of the recent success of self-supervised learning is cr...

8 Shlok Mishra, et al. ∙

∙ 04/16/2021

Membership Inference Attack Susceptibility of Clinical Language Models

Deep Neural Network (DNN) models have been shown to have high empirical ...

0 Abhyuday Jagannatha, et al. ∙

∙ 01/25/2021

Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy

Internet of Things (IoT) devices are becoming increasingly popular and a...

0 Ajesh Koyatan Chathoth, et al. ∙

∙ 04/10/2020

Towards Automatic Generation of Questions from Long Answers

Automatic question generation (AQG) has broad applicability in domains s...

0 Shlok Kumar Mishra, et al. ∙

∙ 04/09/2020

Calibrating Structured Output Predictors for Natural Language Processing

We address the problem of calibrating prediction confidence for output e...

0 Abhyuday Jagannatha, et al. ∙

∙ 04/05/2020

Improved Pretraining for Domain-specific Contextual Embedding Models

We investigate methods to mitigate catastrophic forgetting during domain...

0 Subendhu Rongali, et al. ∙

∙ 10/03/2018

Active Learning for New Domains in Natural Language Understanding

We explore active learning (AL) utterance selection for improving the ac...

0 Stanislav Peshterliev, et al. ∙

∙ 08/01/2016

Structured prediction models for RNN based sequence labeling in clinical text

Sequence labeling is a widely used method for named entity recognition a...

0 Abhyuday Jagannatha, et al. ∙

∙ 06/26/2016

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

Biomedical information extraction (BioIE) is important to many applicati...

0 Feifan Liu, et al. ∙

∙ 06/25/2016

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Sequence labeling for extraction of medical events and their attributes ...

0 Abhyuday Jagannatha, et al. ∙

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