Search Results for author:
Found 2 papers, 2 papers with code
Self-Distillation for Gaussian Process Regression and Classification
We propose two approaches to extend the notion of knowledge distillation to Gaussian Process Regression (GPR) and Gaussian Process Classification (GPC); data-centric and distribution-centric.
Not all noise is accounted equally: How differentially private learning benefits from large sampling rates
In this study, we show that these two types of noise are equivalent in their effect on the utility of private neural networks, however they are not accounted for equally in the privacy budget.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
