11 citations · 11 across the 4 of their papers we have counts for
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cs.LG2019
Sampling Unknown Decision Functions to Build Classifier Copies
Irene Unceta, Diego Palacios, Jordi Nin +1
Copies have been proposed as a viable alternative to endow machine learning models with properties and features that adapt them to changing needs. A fundamental step of the copying…
cs.LG2019
Copying Machine Learning Classifiers
Irene Unceta, Jordi Nin, Oriol Pujol
We study model-agnostic copies of machine learning classifiers. We develop the theory behind the problem of copying, highlighting its differences with that of learning, and propose…