Group of Machine Learning Research

GMUM (Group of Machine Learning Research) is a group of researchers working on various aspects of machine learning, and in particular deep learning - in both fundamental and applied setting. The group is led by prof. Jacek Tabor. We are based in the Jagiellonian University in the beautiful city of Kraków, Poland.

Some of the research directions our group pursues include:

In 2023, we organized the second edition of Machine Learning Summer School (MLSS^S) with a focus on Applications in Science. We invite the participants to collaborate with us on various ongoing research projects - learn more here.

Recent achievements

Prediction Error-based Classification for Class-Incremental Learning (paper)

Michał Zając, Tinne Tuytelaars, Gido M. van de Ven
ICLR 2024

Divide and not forget Ensemble of selectively trained experts in Continual Learning (paper)

Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zieliński, Bartłomiej Twardowski
ICLR 2024

Modelling the Rise and Fall of Two-Sided Mobility Markets with Microsimulation (paper)

Farnoud Ghasemi, Rafał Kucharski
AAMAS 2024

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations (paper)

Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
AAAI 2024

Meta-learning in Deep Neural Networks (grant)

Jacek Tabor

Improving the transferability of self-supervised learning models (grant)

Marcin Przewięźlikowski

Computationally efficient dynamic neural networks (grant)

Bartosz Wójcik

Contact Us

Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland