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03/28/2022
Using Domain Knowledge for Low Resource Named Entity Recognition
In recent years, named entity recognition has always been a popular rese...
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02/13/2022
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
Using data from cardiovascular surgery patients with long and highly var...
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04/15/2014
Sparse Compositional Metric Learning
We propose a new approach for metric learning by framing it as learning ...
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06/27/2012
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
We study the problem of unsupervised domain adaptation, which aims to ad...
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09/19/2011
