Marcin Przewięźlikowski

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Hello there! My name is Marcin and I am a PhD student @ GMUM / Jagiellonian University / IDEAS NCBR. I am passionate about all things Machine Learning, comics, cycling and skiing.

In 2021 I received a Master's Degree in Computer Science from Jagiellonian University and in 2019, a BSc. of Engineering from AGH University of Science and Technology.

I am based in Cracow, Poland.

Selected publications

For the full list of my papers, see my Google Scholar profile.

Augmentation-aware self-supervised learning with conditioned projector
Augmentation-aware self-supervised learning with conditioned projector
Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja
Knowledge-based Systems journal - November 2024
paper poster code
HyperMAML: Few-shot adaptation of deep models with hypernetworks
HyperMAML: Few-shot adaptation of deep models with hypernetworks
Marcin Przewięźlikowski, Przemysław Przybysz, Jacek Tabor, Maciej Zięba, Przemysław Spurek
Neurocomputing journal - July 2024
paper code
A deep cut into Split Federated Self-supervised Learning
A deep cut into Split Federated Self-supervised Learning
Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek Śmieja
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) - September 2024
paper poster code
The general framework for few-shot learning by kernel HyperNetworks
The general framework for few-shot learning by kernel HyperNetworks
Marcin Sendera, Marcin Przewiȩźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Ziȩba, Jacek Tabor, Przemysław Spurek
Machine Vision and Applications journal - May 2023
paper code
HyperShot: Few-Shot Learning by Kernel HyperNetworks
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek
Winter Conference on Applications of Computer Vision (WACV) - January 2023 (Best Paper Award finalist)
paper poster code
MisConv: Convolutional Neural Networks for Missing Data
MisConv: Convolutional Neural Networks for Missing Data
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski and Jacek Tabor
Winter Conference on Applications of Computer Vision (WACV) - January 2022
paper poster code
Estimating conditional density of missing values using deep Gaussian mixture model
Estimating conditional density of missing values using deep Gaussian mixture model
Marcin Przewięźlikowski, Marek Śmieja and Łukasz Struski
International Conference on Neural Information Processing (ICONIP) - November 2020
paper code
Support for High-Level Quantum Bayesian Inference
Support for High-Level Quantum Bayesian Inference
Marcin Przewięźlikowski, Michał Grabowski, Katarzyna Rycerz and Dariusz Kurzyk
International Conference on Computational Science (ICCS) - June 2019
paper poster code