Seminar in Deep Neural Networks (FS 2022)

Organization

The Seminar is now concluded.

When & Where: Tuesdays 10:15, ETZ G 91.
First seminar: 22.02.2021.
Last seminar: 31.05.2021.
Coordinators: Roger Wattenhofer, Peter Belcák, Béni Egressy.

As a seminar participant, you are asked to attend all the talks and make a presentation.

Here is the link to the seminar's Moodle course. You can use Moodle to ask questions or start discussions.

Here is the link to the seminar's Polybox repository. You should have received the password by email. You should upload the slides for your talk the day before it is scheduled.

Disclaimer: This is a seminar, we will focus on reasearch and skip most of the basics. If you feel like you cannot follow the discussions we invite you to check out this lecture or other lectures on deep learning. We also recommend Chollet, Francois: Deep learning with Python. 2nd Edition. Simon and Schuster, 2021.

Presentation & Discussion

Your presentation should be in English. The presentation should last exactly 35 minutes, followed by a discussion. The seminar will be exciting when the talks and discussions are exciting.

Here are some guides and guidelines on scholarly presentations: by Roger Wattenhofer, by Garr Reynolds, and by Cheryl Gore-Felton. As is customary in academia, all work not belonging to the author (including figures, explanations, examples, or equations) must be properly referenced.

We expect the presentation to motivate a lively discussion. We encourage discussions during and after the presentations as a main objective of this seminar. It may help discussions if you also try to be critical about the presented work. Participating in Moodle discussions also counts towards the discussion participation.

COVID-19 Situation

We plan to hold this year's seminar in person. If you find yourself unable to participate (say due to an isolation requirement), get in touch with your mentor at first instance. You might then be asked record a video of your presentation and upload it to polybox the day before your seminar presentation date.

Grade

Your grade will depend on your presentation for the most part. In addition, we also grade how actively you participate in the discussions, both in person and on Moodle, throughout the semester.

Presentation Timeline

We established the following rules to ensure a high quality of the talks:

• As soon as you know who your mentor is: ask them for a literature assignment in case they haven't provided it already.
• At least 4 weeks before your talk: first meeting with your mentor where you discuss the structure of the talk.
• 4 to 1 week before your talk: you meet with your mentor as often as both parties find necessary to be making progress.
• At least 1 week before your talk: give your talk in front of your mentor who will provide feedback.
• We will expect to have received an electronic copy of your slides day before your presentation.

Schedule

© 2024 DISCO, TIK, ETH Zurich | Imprint | Last updated: Sat, 24 Sep 2022 11:22.