Hauptseminar:
Emerging Topics in Machine Learning and AI

Hauptseminar für Master-Studiengänge
im Wintersemester 2023 (LMU, TUM IN2107, TUM IN4421)

Welcome to the Master's Seminar on "Emerging Topics in Machine Learning and AI" in the winter term 2023/24. Here you will be able to find all the details concerning the seminar.

News

02/05/2024: The block seminar will take place at the LRZ, Boltzmannstraße 1, 85748 Garching bei München, in seminar room 1. Please ignore previous announced location.
02/03/2024: Check back for precise room/location later this week. We will not be in Oettingenstr. 67, but in Luisenstr. 37.
02/03/2024: Seminar proceedings available. Please also see updated agenda.
01/20/2024: Agenda Blockseminar available. Do not forget to schedule dry-run with your mentor.
01/10/2024: Presentation Training slides are available.
01/08/2024: Due to the rail strike the presentation lectore will be held in hybrid mode. Attendance is mandatory and in-presence attendence is preferred. Zoom Link (Code: 078553)
12/27/2023: Peer Reviews available.
10/24/2023: Topic Assignment Online
10/21/2023: Moodle misconfigured. Please, resubmit your topic preferences until 10/23/2023, 11:59pm CEST: Moodle.
09/24/2023: Information regarding enrollment for the seminar can be found here.
09/24/2023: Moodle course page.
09/13/2023: The introduction event (mandatory) will take place on October 18, 5pm ct.
09/01/2023: The list of seminar topics can now be found here.

Topics

The list of topics is available now: Seminar Topics The literature indicated there is not cited scientifically. It is intended as a starting point for your own literature research.

Structure

The seminar will imitate a scientific conference. That means:

Students will prepare a conference paper (technical report) on a chosen topic and submit it to the seminar organizer (the fictitious program committee).
When the first version has been submitted, each participant will be assigned one or two papers to review (according to a template), so that each paper will receive two reviews. This should increase the quality of the submissions and familiarize the participants with the process of scientific publishing.
After receiving the reviews, the authors have another 2 weeks to address the comments/suggestions. Both the quality of the submitted reviews and the implementation of the comments will be considered in the grading process.
Finally, students present their updated final paper at simulated conference at the end of the term. The conference will run over one or two days at the end of the term. The exact date and the agenda will be announced below.

Master students will be assigned a topic to work on alone, Bachelor students will work on a topic in pairs.

*Seminar spots are in great demand. Therefore, anyone who does not participate in the kick-off event (without giving notice) will lose their seminar spot, which will be re-assigned to another student.

Formal Criteria

The final grade of the seminar is determined by the quality of the scientific paper, presentation, and the contributed reviews. Participation in the final conference is mandatory throughout the whole event, which will take place in person.

The grade will also be impacted by conformance to the templates, conformance to the required page limit and compliance with the presentation rules.

The seminar will be held in English, including end of term presentations, but we explicity encourage also students with shaky English skills to apply - this is an opportunity to learn and we will not hold your language mistakes against you in grading.

Paper criteria:

The paper must meet the following criteria:

Use of the Latex Template IEEE (see Downloads)
Scope: 6 to 8 pages (strict min. and max., incl. references)

Non-conformance to one of the criteria will impact the final grade.

Presentation criteria:

The presentation must meet the following criteria:

less than 10 words per slide
max. 12 minutes of presentation (in total)
one special slide addressing the question: "How is your research valuable/relevant for LMU / LRZ / MWN?"

Also, please use the MNM-Team Slide Template.

Non-conformance to one of the criteria will impact the final grade.

Downloads

Timeline

Lectures and Events:

The Kick-off meeting for the seminar will take place in room 161 (Oettingenstr. 67) on Wed. 18.10.2023 from 16 - 18 pm. The block seminar will take place at the LRZ, Boltzmannstraße 1, 85748 Garching bei München, in seminar room 1. ~~The block seminar will take in Luisenstraße. 37 (check back for final location and room).~~

Wednesday, 18.10.2023, 4:15 pm c.t. Kick-off meeting (in-person, student attendance required)

Friday, 20.10.2023 Submission of topic preferences

Monday, 23.10.2023 Topic assignment

Monday, 06.11.2023 23:59, Submission of paper outline

Wednesday, 15.11.2023, 5 pm c.t., Scientific writing and LaTeX tutorial (attendance required)

Friday, 08.12.2023 23:59, Submission for paper for peer-review

Friday, 22.12.2023 23:59, Submission of peer review(s)

Wednesday, 10.01.2024, 5 pm c.t., Presentation training (attendance required)
Friday, 19.01.2024 23:59, Submission of draft presentation slides

Friday, 02.02.2024 23:59, Submission of camera-ready paper

Wednesday, 07.02.2024 23:59, Submission of final presentation slides

Friday, 09.02.2024, 8:45 c.t. Block-Seminar (LRZ, Garching, seminar room 1, attendance required)

Contact

Questions, feedback and suggestions are always welcome. Please use the seminar-specific e-mail address seminar@nm.ifi.lmu.de.

Funktionen

Hauptseminar: Emerging Topics in Machine Learning and AI