Teaching

Seminar: Explainable Machine Learning

Content

Current publications on machine learning / computer vision are covered in this seminar. In particular, topics from the area of explainable machine learning (in particular vision and language based deep learning, attention models, transformers) are in focus.

Since these topics are very complex, prior participation in at least one of the following lectures is required:

  • Deep Learning
  • Probabilistic Machine Learning
  • Statistical Machine Learning

Organisation

Wednesday at 2-4pm (starting from November 4th).
All the lectures will be conducted online via zoom. The details will be provided here before the first meeting.
The course awards 3 LP Credits.

Requirements

A successful participation in the seminar includes:

  • Active participation in the entire event
  • Short presentation in the first half of the semester (max. 2 minutes)
  • Essay on the chosen topic (6-8 pages, English)
  • Use provided latex template!
  • Presentation of the topic (20 minutes)