Search Results for author: Thomas Baumhauer

Found 2 papers, 1 papers with code

Bounded logit attention: Learning to explain image classifiers

1 code implementation31 May 2021 Thomas Baumhauer, Djordje Slijepcevic, Matthias Zeppelzauer

Explainable artificial intelligence is the attempt to elucidate the workings of systems too complex to be directly accessible to human cognition through suitable side-information referred to as "explanations".

Explainable artificial intelligence feature selection +2

Machine Unlearning: Linear Filtration for Logit-based Classifiers

no code implementations7 Feb 2020 Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer

Recently enacted legislation grants individuals certain rights to decide in what fashion their personal data may be used, and in particular a "right to be forgotten".

Machine Unlearning

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