About me

I am a PhD Student at the Jagiellonian University. I work with GMUM research group, under the supervision of prof. Jacek Tabor and prof. Marek Śmieja. I am also a member of the IDEAS NCBR Computer Vision group, led by prof. Tomasz Trzciński.
Research-wise, I am interested in efficient deep learning, particularly in low-data regimes. I work on topics such as:

Meta-Learning - how to train models to learn novel tasks.
Few-Shot Learning - how to train models which can learn from very small amounts of data.
Self-supervised Learning - how to learn good model initializations from unlabeled data?

News

24.11.2023 - I've been awarded the NCN PRELUDIUM 22 grant for project "Improving the transferability of self-supervised learning models"!
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11.11.2023 - Augmentation-aware Self-Supervised Learning with Conditioned Projector accepted to Self-Supervised Learning - Theory and Practice workshop at NeurIPS 2023. See you in New Orleans!
24.10.2023 - Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning accepted to WACV 2024!
13.10.2023 - Zero time waste in pre-trained early exit neural networks published in the Neural Networks journal!
2.10.2023 - I have started an internship at Computer Vision Center with prof. Joost van de Weijer. Until December, see you in Barcelona!
25.08.2023 - Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning accepted to the 1st Workshop on Visual Continual Learning at ICCV 2023!
20.05.2023 - The general framework for few-shot learning by kernel HyperNetworks published in the Machine Vision and Applications journal!
05.01.2023 - HyperShot: Few-Shot Learning by Kernel HyperNetworks named a finalist of Paper Award at WACV 2023!
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04.10.2022 - I have joined IDEAS NCBR, where I will work on Zero-Waste Machine Learning in Computer Vision in the group led by prof. Tomasz Trzciński.
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16.08.2022 - HyperShot: Few-Shot Learning by Kernel HyperNetworks accepted to WACV 2023!