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Topic Assignments and LSF Registration

Written on 30.10.26 (last change on 30.10.26) by María Martínez-García

Dear students,

We have assigned the topics as follows:

  • Generative Models
    • 7087970
    • 7091773
  • Contrastive Learning
    • 7100972
    • 7081771
  • Causal Representation Learning + Disentanglement
    • 7062343
    • 7089396

If you would like to change your assigned… Read more

Dear students,

We have assigned the topics as follows:

  • Generative Models
    • 7087970
    • 7091773
  • Contrastive Learning
    • 7100972
    • 7081771
  • Causal Representation Learning + Disentanglement
    • 7062343
    • 7089396

If you would like to change your assigned topic, please arrange a swap with another student and let us know as soon as possible.

On the main page, you will find a list of papers for each topic to help you get started with your literature review.

The next time we meet will be for your first private meetings! Please remember to check the calendar for your assigned date and to submit the required deliverables on time.

Registration in LSF is now also open. Please make sure to register by November 12.

If you have any questions, feel free to reach out to the team.

Have a nice weekend!
RL Seminar Team

Recommended reading for the next background session

Written on 26.10.26 by Lena Marie Budde

We recommend reading the following paper in preparation for the next background session. This paper will be used as an example to demonstrate how to read a paper: Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020). A Simple Framework for Contrastive Learning of Visual Representations. In… Read more

We recommend reading the following paper in preparation for the next background session. This paper will be used as an example to demonstrate how to read a paper: Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020). A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning (pp. 1597-1607). PMLR

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