Foundations of Deep Learning
| Course type: | Lecture + Exercise |
| Time: | Lecture: Tuesday, 10:15 - 11:45; Optional exercises: Friday, 10:15 - 11:45 |
| Location: | The course will be in-person. - Weekly flipped classroom sessions will be held on Tuesday in HS 00 006 (G.-Köhler-Allee 082) - Optional exercise sessions will take place on Friday in HS 00 006 (G.-Köhler-Allee 082) |
| Organizers: | Steven Adriaensen , Abhinav Valada , Mahmoud Safari , Rhea Sukthanker , Johannes Hog |
| Web page: | ILIAS - available starting 8am, 15.10.24 (please make sure to also register for all elements of this course module in HISinOne) |
Seminar: Automated Reinforcement Learning
| Course type: | Block Seminar |
| Time: | Kickoff Session: 17.10.24 14:00 - 16:00 Presentation Sessions: TBD (likely first week of February) |
| Location: | Kickoff Session: SR 02-016/18 (G.-Köhler-Allee 101) Presentation Sessions: TBD |
| Organizers: | André Biedenkapp , Noor Awad , Raghu Rajan , M Asif Hasan , Baohe Zhang |
| Web page: | HISinOne , Local Page |
Seminar: Pruning and Efficiency in LLMs
Large language models (LLMs) exhibit remarkable reasoning abilities, allowing them to generalize across a wide range of downstream tasks, such as commonsense reasoning or instruction following. However, as LLMs scale, inference costs become increasingly prohibitive, accumulating significantly over their life cycle. In this seminar we will dive into methods like quantization, pruning and knowledge distillation to optimize LLM inference. Please fill this interest form to participate in the seminar.
| Course type: | Seminar |
| Time | Five slots, to be determined with all participants. Kick-off is likely on the 24th of October from 2-3pm |
| Location | in-person; SR 04-007, building 106 |
| Organizers | Rhea Sukthanker , Arbër Zela , Mahmoud Safari |
| Registration | Via HISinOne (maximum nine students, registration opens 14th of October) |
| Language | English |
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Seminar: Large Language Models, Deep Learning, and Foundation Models for Tabular Data
The field of tabular das has recently been exploding with advances through large language models (LLMs), deep learning algorithms, and foundation models. In this seminar, we want to dive deep into these very recent advances to understand them.
| Course type: | Seminar |
| Time | Five slots, to be determined with all participants. Kick-off is likely on the 23rd of October at 10 to 11 am. |
| Location | in-person; Meeting Room in our ML Lab |
| Organizers | Lennart Purucker |
| Registration | Via HISinOne (maximal six students, registration opens 14th of October) |
| Language | English |
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