On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Ashkan Khakzar is a post-doctoral research assistant at Torr vision group at the University of Oxford. His research focuses on the explainability and robustness of neural networks. He received his Ph.D. from the Technical University of Munich (TUM) in Germany.
Abstract:
This talk will explore feature attribution for interpreting vision neural networks and their black box mechanism. We will cover the main approaches to feature attribution and the cases when they could fail and when the explanations could lie. Additionally, the talk will delve into several approaches beyond attribution to provide even deeper insights into how vision neural networks operate. All concepts will be presented in an accessible and intuitive manner for a general audience.
