This seminar aims to cover different topics in the field of machine learning, such as decision trees, SVMs or neural networks. It takes shape as a paper reading and discussing the concept of "learning and learning". A collection of papers from selected journals and conferences is provided for the students to choose from. In each meeting, two topics are presented by the students. 

Students are graded based on: a) their presentation, b) a short (13-16 pages) report that they write on the subject, and c) their participation in post-presentation discussions. So, attendance is required to pass the course.

The date for the first meeting can be seen from the table above. In the session, all possible topics are presented. The presentations will start two to four weeks after the preliminary meeting; two presentations in each meeting. If you are unable to attend this preliminary meeting, please write an email to either of the instructors.

Important note: If there are more than 12 participants on the preliminary meeting, students who have chosen the seminar on ILIAS have priority. If you are on the waiting list, you will get access to the ILIAS page shortly before this meeting will start.

This is a BSc Seminar. Interested MSc students are welcome as well.

Ilias

Our topic list can be found in our Ilias course. You can get access to the most resources with an online-search from the university network (computer science pools, ZDV pools, VPN-client, etc.). For the literature search, it is recommended to use Google Scholar, Citeseer, arXiv. For very recent submissions on arXiv, click here. If a paper is published in CVPR or ICCV, you can find it on CVF open access. NIPS proceedings can be reached here. Also, you can download the PDFs from authors' webpages.

How to read a computer science paper?

• How to Read a Paper
• Reading a Computer Science Research Paper
• How to Read a Computer Science Research Paper

A report template is available in Ilias.