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05/19/2023
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Electronic health record (EHR) data are increasingly used to support rea...
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01/01/2023
Discriminative Radial Domain Adaptation
Domain adaptation methods reduce domain shift typically by learning doma...
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11/29/2022
Harnessing electronic health records for real-world evidence
While randomized controlled trials (RCTs) are the gold-standard for esta...
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07/14/2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Domain Adaptation has been widely used to deal with the distribution shi...
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11/07/2020
Interventional Domain Adaptation
Domain adaptation (DA) aims to transfer discriminative features learned ...
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07/30/2020
Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
We reveal the incoherence between the widely-adopted empirical domain ad...
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09/14/2019
Deep Robotic Prediction with hierarchical RGB-D Fusion
Robotic is a fundamental operation in robotic control task goals. We con...
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07/05/2019
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
This technical report attempts to provide efficient and solid kits addre...
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06/24/2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Domain adaptation is an important technique to alleviate performance deg...
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01/16/2019
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions
Let X be an M× N random matrices consisting of independent M-variate ell...
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11/12/2018
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Unsupervised domain adaptation methods aim to alleviate performance degr...
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05/28/2018
