This Friday Zeynep Akata will give a talk about “Explaining and Representing Novel Concepts With Minimal Supervision”. You are kindly invited. Please see the details below.
Best regards, Martin Grohe
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Title: Explaining and Representing Novel Concepts With Minimal Supervision
Speaker: Zeynep Akata (University of Amsterdam)
Time and Place: Friday, October 26th, 14:15, AH I
Abstract: Clearly explaining a rationale for a classification decision to an end-user can be as important as the decision itself. Existing approaches for deep visual recognition are generally opaque and do not output any justification text; contemporary vision-language models can describe image content but fail to take into account class-discriminative image properties which justify visual predictions. In this talk, I will present my past and current work on Zero-Shot Learning, Vision and Language for Generative Modeling and Explainable Artificial Intelligence where we show (1) how to generalize image classification models to cases when no visual training data is available, (2) how to generate images and image features using detailed visual descriptions, and (3) how our models focus on discriminating properties of the visible object, jointly predict a class label, explain why/not the predicted label is chosen for the image.
---------------------------------------------------------------- Prof. Dr. Martin Grohe | Fachgruppe Informatik http://www.informatik.rwth-aachen.de/ | Ahornstr. 55, 52074 Aachen, Germany | RWTH Aachen University Phone ++49 241 80-21701 / Fax -22215 |