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:
In 2022, we are organizing Machine Learning Summer School with Neuroscience - click for more info or visit the website.

Recent achievements

PluGeN: Multi-Label Conditional Generation From Pre-Trained Models (paper)

Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zięba, Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
AAAI 2022

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

Contact Us

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