Recent publications
- Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz, Marek Cygan, Bartosz Zieliński, Maciej Wołczyk, FlySearch : exploring how vision-language models explore, Advances in Neural Information Processing Systems [NeurIPS] 38 (2026), 185979-186011
- Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarząb, Katarzyna Biegun-Drożdż, Dorota Ochońska, Michał Wronka, Adriana Borowa, Tomasz Gosiewski, Miłosz Adamczyk, Henryk Telega, Bartosz Zieliński, Monika Brzychczy-Włoch, AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients, Computers in Biology and Medicine 199 (2025), 111328
- Bartosz Zieliński, Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzciński, Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8536-8545
- Bartosz Zieliński, Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129
- Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński, ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
Interests
- Machine Learning for Computer vision
- Partial information and Active Inference
- Interpretability of Deep Neural Networks
Adam Pardyl
academic degree/title Master of Science (MSc) statusPhD student of technical computer science
research group
- Group of Machine Learning Research (GMUM)
adam.pardyl@uj.edu.pl
www