Seminar - Selected Topics in Machine Learning Research (IN2107, IN4872)
Course 0821002442 in SS 2021
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 26 - Associate Professorship of Data Analytics and Machine Learning (Prof. Günnemann) |
| Lecturers |
Simon Geisler Stephan Günnemann Anna-Kathrin Kopetzki Aleksei Kuvshinov |
| Dates |
4 singular or moved dates |
Assignment to Modules
-
IN2183: CSE Seminar Scientific Computing / CSE Seminar Course Scientific Computing
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | In this seminar we will discuss a diverse set of topics in current machine learning research. Examples of topics include machine learning on graphs, machine learning with sequential data, modern architectures, properties of modern models, robustness, or explainability. |
|---|---|
| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |