no code implementations • 4 Jul 2023 • Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard
Despite progress in differential privacy and generative modeling for privacy-preserving data release in the literature, only a few approaches optimize for machine learning utility: most approaches only take into account statistical metrics on the data itself and fail to explicitly preserve the loss metrics of machine learning models that are to be subsequently trained on the generated data.
1 code implementation • 10 Oct 2017 • Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
In several domains obtaining class annotations is expensive while at the same time unlabelled data are abundant.
no code implementations • 29 Dec 2016 • Tamas Madl
Despite of the pain and limited accuracy of blood tests for early recognition of cardiovascular disease, they dominate risk screening and triage.