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Machine learning reading group2020VT
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Course plan
Format
- We meet bi-weekly on Tuesdays 13:15-15:00 throughout the semester to discuss
papers in machine learning.
- The paper selection is based on certain topics that we decide on together
during the first session (a brainstorming session), so the topics covered
during each semester (i.e. course instance) will be based on the participants'
interests. We will stick with one topic for two consecutive sessions.
- Two people will share the responsibility for selecting good and
representative papers for each topic. You can either collaborate on the two
sessions, or take one session each.
- Each session we will have one main paper that everyone should read, and
possibly a few more related papers.
- Each session will start with a presentation by the person(s) who is
responsible for that session, focusing on putting the main paper in a context.
For instance, you can present the key idea of the main paper and how this
differs from the related papers that you have picked.
- The presentation is followed by a discussion.
PhD students who want to earn three course credits (3hp) need to be responsible
for one session/topic, and actively participate in at least 70 % of the
sessions.
Dates VT 2020
- First meeting (brainstorming session) on Jan 21.
- First regular session on Feb 4.
- In total 10 regular sessions (even weeks throughout the semester). You need
to attend at least 7 of these to earn the course credits.
Page responsible: Director of Graduate Studies
