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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...
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04/16/2021
Membership Inference Attack Susceptibility of Clinical Language Models
Deep Neural Network (DNN) models have been shown to have high empirical ...
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01/25/2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Internet of Things (IoT) devices are becoming increasingly popular and a...
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04/10/2020
Towards Automatic Generation of Questions from Long Answers
Automatic question generation (AQG) has broad applicability in domains s...
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04/09/2020
Calibrating Structured Output Predictors for Natural Language Processing
We address the problem of calibrating prediction confidence for output e...
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04/05/2020
Improved Pretraining for Domain-specific Contextual Embedding Models
We investigate methods to mitigate catastrophic forgetting during domain...
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10/03/2018
Active Learning for New Domains in Natural Language Understanding
We explore active learning (AL) utterance selection for improving the ac...
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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...
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06/26/2016
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
Biomedical information extraction (BioIE) is important to many applicati...
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06/25/2016