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Florence Nightingale Colloquium presents Kristian Kersting

Datum
vrijdag 15 januari 2021
Tijd
Toelichting
The seminar is targeted at a broad audience, in particular we invite master students, PhD candidates and supervisors interested or involved in the Data Science Research programme as well as colleagues from LIACS and MI to attend. The seminar is organized by the DSO, MI and LIACS.
Serie
Florence Nightingale Colloquium
Locatie
Kaltura Live Room
Kristian Kersting is Full Professor at the Technical University of Darmstadt

Making Deep Neural Networks Right for the Right Scientific Reasons

Deep neural networks have shown excellent performances in many real-world applications such as plant phenotyping. Unfortunately, they may show "Clever Hans"-like behaviour, making use of confounding factors within datasets, to achieve high prediction rates. Rather than discarding the trained models or the dataset, we show that interactions between the learning system and the human user can correct the model. Specifically, we revise the models decision process by adding annotated masks during the learning loop and penalize decisions made for wrong reasons. In this way the decision strategies of the machine can be improved, focusing on relevant features, without considerably dropping predictive performance.

Join the webinar via Kaltura Live Room

Kaltura Live Room works best in Edge, Chorme and Firefox. Make sure you activate your camera and microphone beforehand in order to interact with the speaker and participate in discussion. The room opens for the public at 12:50.

Register for the Kaltura Live Room link
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