Group of Machine Learning Research

GMUM (Group of Machine Learning Research) is a group at Jagiellonian University 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.
Some of the research directions our group pursues include:

Recent achievements

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks (paper)

Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
NeurIPS 2021

Continual World: A Robotic Benchmark For Continual Reinforcement Learning (paper)

Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
NeurIPS 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression (paper)

Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzciński, Przemysław Spurek, Maciej Zięba
NeurIPS 2021

START 2021 (scholarship)

Stanisław Jastrzębski

ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification (paper)

Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
SIGKDD 2021

Robust Learning-Augmented Caching: An Experimental Study (paper)

Jakub Chłędowski, Adam Polak, Bartosz Szabucki, Konrad Żołna
ICML 2021

Contact Us

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