This is an advanced MSc course on Self Supervised Learning for Summer 2026, designed for 2nd and 3rd semester students.
Prerequisites
This course requires a good understanding of deep learning and machine learning.
Schedule
Tutorials: Mondays, 16:00–18:00, HS1
Lectures: Fridays, 14:00–16:00, HS4
| Date | Time | Topic | Material | |
|---|---|---|---|---|
| Lecture 1 | April 17, 2026 | 14:15–16:00, HS4 | Intro | slides |
| Lecture 2 | April 24, 2026 | 14:15–16:00, HS4 | Clustering | slides sklearn user guide Bishop Chapter 9.1 kmeans++ Deep Clustering STEGO CRFs |
| Tutorial 2 | April 27, 2026 | 16:15–18:00 | ||
| – | May 1, 2026 | – | Public Holiday | |
| Lecture 3 | May 8, 2026 | 14:15–16:00, HS2 | Autoencoders | Deep Learning Book |
| Tutorial 3 | May 11, 2026 | 16:15–18:00 | ||
| - | May 15, 2026 | - | No Lecture | |
| Lecture 4 | May 22, 2026 | 14:15–16:00, HS2 | Generative Models | |
| – | May 29, 2026 | – | ascension break | |
| Tutorial 4 | June 1, 2026 | 16:15–18:00 | ||
| - | June 5, 2026 | - | No Lecture | |
| Lecture 5 | June 12, 2026 | 14:15–16:00, likely online | Denoising | |
| Tutorial 5 | June 15, 2026 | 16:15–18:00 | ||
| Lecture 6 | June 19, 2026 | 14:15–16:00, HS2 | Pretext Augmentations | |
| Tutorial 6 | June 22, 2026 | 16:15–18:00 | ||
| Lecture 7 | June 26, 2026 | 14:15–16:00, HS2 | Student-teacher Learning | |
| Tutorial 7 | June 29, 2026 | 16:15–18:00 | ||
| Lecture 8 | July 3, 2026 | 14:15–16:00, HS2 | Cycle Consistency & Contrastive Learning | |
| Tutorial 8 | July 6, 2026 | 16:15–18:00 | ||
| Lecture 9 | July 10, 2026 | 14:15–16:00, HS2 | Pseudo Labels | |
| Tutorial 9 | July 13, 2026 | 16:15–18:00 | ||
| Lecture 10 | July 17, 2026 | 14:15–16:00, HS2 | System-Level Self-Supervision | |
| Tutorial 10 | July 20, 2026 | 16:15–18:00 | ||
| Lecture 11 | July 24, 2026 | 14:15–16:00, HS2 | Research Insights |
FAQ
Mobile Robotics and other Study Programs
Students of the Mobile Robotics MSc program or other programs that are not from the CS department can enroll into this course. Please contact your respective exam office and only contact the lecture team with clear information what your exam office requires. Please also take note of the course prerequisits listed above.
Course Registation
You need to register through BASIS by end of April. Any person registered through BASIS should automatically also be added on eCampus. There is no other way to register for the lecture. Registration for the lecture is a prerequist to later register for the exam.
Problems with BASIS or eCampus
Anybody who is registered on BASIS should be automatically be added to eCampus. If that has not worked or you have technical problems registering on BASIS, please contact bama+tech@informatik.uni-bonn.de.
For any other questions regarding this course, please ask in the forum on eCampus. Only in urgent matters, contact blumh@uni-bonn.de.
