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Found 10 papers, 4 papers with code
Differentially Private Ensemble Classifiers for Data Streams
Learning from continuous data streams via classification/regression is prevalent in many domains.
The Differentially Private Lottery Ticket Mechanism
We propose the differentially private lottery ticket mechanism (DPLTM).
Differentially Private Survival Function Estimation
Survival function estimation is used in many disciplines, but it is most common in medical analytics in the form of the Kaplan-Meier estimator.
Winning Privately: The Differentially Private Lottery Ticket Mechanism
We propose the differentially private lottery ticket mechanism (DPLTM).
Recovering Loss to Followup Information Using Denoising Autoencoders
Loss to followup is a significant issue in healthcare and has serious consequences for a study's validity and cost.
MIDA: Multiple Imputation using Denoising Autoencoders
Missing data is a significant problem impacting all domains.
Detecting Adversarial Samples Using Density Ratio Estimates
Machine learning models, especially based on deep architectures are used in everyday applications ranging from self driving cars to medical diagnostics.
CrowdMI: Multiple Imputation via Crowdsourcing
Can humans impute missing data with similar proficiency as machines?
Classifier comparison using precision
New proposed models are often compared to state-of-the-art using statistical significance testing.
Medical image denoising using convolutional denoising autoencoders
Image denoising is an important pre-processing step in medical image analysis.
