Overview

This seminar covers the topic: “Training and Analyzing Large-Scale Machine Learning Models“. 

The topic will be assigned to participants at the kick-off meeting on 23.10.2024. Each participant will be given a topic and must conduct a literature review on the topic received and present their findings in a presentation.

Organisation

Venue: Seminar Room, Chair of Prof. Wolfgang Maaß, Campus A5 4

Kick-Off Meeting: 23.10.2024

Moodle

Structure of the seminar

(A) Written elaboration of the literature review and (B) presentation of own results.

Inclusion of part A (70%) and part B (30%) in the final grade.

Procedure of the seminar

On Oct. 23, 2024, each participant will be assigned a topic.

Bachelor students: Each participant must carry out a literature review on the topic received and present their results in a presentation. Master students: Each participant gets a paper he or she needs to work on, delve deeply into motivation, methods and results and present their results in a presentation. The content of the presentation should be to present the state of research on the given topic and to solve the problem in the description of the topic. Each participant will be notified of his/her presentation date.

In addition, a written submission is required. A corresponding template will be provided on the Moodle site.

Presentations must be uploaded to Moodle at least one week prior to the presentation date.

All participants must attend all presentations and the related discussion sessions! An absence will only be excused by presenting a medical certificate.