I am currently looking for talented and enthusiastic students for Master theses. You should have a basic understanding of Deep Learning, and be familiar with writing clean and performant code in Python using NumPy and PyTorch.
I am generally interested in topics in the field of Deep Learning. At the moment, my focus is mainly on techniques for learning with few labels (especially (Deep) Active Learning) and Uncertainty Estimation.
- Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl (2021, September).
Cluster Flow — an Advanced Concept for Ensemble-Enabling, Interactive Clustering.
19. Fachtagung für "Datenbanksysteme für Business, Technologie und Web" (BTW-21).
- Michael Fromm*, Max Berrendorf*, Sandra Obermeier, Thomas Seidl, and Evgeniy Faerman.
"Diversity Aware Relevance Learning for Argument Search"
43rd European Conference on Information Retrieval (ECIR-21)
- Sandra Obermeier, Max Berrendorf, Peer Kröger.
"Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation"
The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20)