Advanced Deep Learning
Prof. Dr. Abhinav Valada, Dr. Daniele Cattaneo
Co-Organizers:
Martin Büchner, Markus Käppeler, Maximilian Luz, Rohit Mohan
Deep learning techniques are constantly evolving and are nowadays recognized as the state-of-the-art solution in many problems in various domains. This course provides you with a good theoretical understanding and practical experience about advanced deep learning techniques and modern architectures include topics in Graph Neural Networks, Multi-dimensional Deep Learning, Transformers, Similarity Learning, Multi-modal Learning, Transfer Learning, Domain Adaptation, Self-supervised Learning, and Generative models. Furthermore, you should be able to use Deep Learning software libraries (PyTorch) in order to work on real-world applications of the content taught.
Details
| Time: | Monday, 14:00-16:00 First meeting on April 28th 2025. |
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| Location: |
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| Learning Platform: | ILIAS | |
| Prerequisites: | Students must have completed a graded course equivalent to Foundations of Deep Learning |
Course Overview
The course will be taught in English
Every week there will be:
- an in-person lecture (Monday, 14:00-16:00)
- an exercise sheet
- an in-person exercise session (Fridays 10:00 - 12:00)
At the end, there will be a written exam.
Course Schedule
The following are the dates for the in-person lectures:
28.04.24 – Lecture 1: Introduction
05.05.24 – Lecture 2: Multidimensional Deep Learning
12.05.24 – Lecture 3: Transformers I
19.05.24 – Lecture 4: Transformers II
26.05.24 – Lecture 5: Graph Neural Networks
02.06.24 – Lecture 6: Similarity Learning
16.06.24 – Lecture 7: Multimodal Deep Learning
23.06.24 – Lecture 8: Self-Supervised Learning and Foundation Models
30.06.24 – Lecture 9: Transfer Learning, Domain Adaptation, and Continual Learning
07.07.24 – Lecture 10: Guest Lecture - TBD
14.07.24 – Lecture 11: Generative Models
21.07.24 – Lecture 12: Round-up / Exam Q & A
In the first session (on 28.04.25) you will get additional information about the course and get the opportunity to ask general questions.
Questions?
If you have a question, please post it in the ILIAS forum (so everyone can benefit from the answer).