AI Seminar: XAI for representation learning

▤ Summary

Join us for a talk by Robert Jenssen, Director of SFI Visual Intelligence and Professor at UiT The Arctic University of Norway. This talk will discuss motivation for recent explainability research in deep learning, so-called XAI. For a large part, XAI try to identify input features that drives supervised class predictions and have received widespread attention. The talk then touches upon some recent alternatives aimed to be self-explainable, i.e methods with a built-in capability for providing explanations. The main aim of the talk is however to introduce the first XAI work published for explainability in representation learning.

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