Follow
Marcin PrzewięĽlikowski
Marcin PrzewięĽlikowski
Jagiellonian University, IDEAS NCBR
Verified email at doctoral.uj.edu.pl - Homepage
Title
Cited by
Cited by
Year
Hypershot: Few-shot learning by kernel hypernetworks
M Sendera, M PrzewięĽlikowski, K Karanowski, M Zięba, J Tabor, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
152023
Hypermaml: Few-shot adaptation of deep models with hypernetworks
M PrzewięĽlikowski, P Przybysz, J Tabor, M Zięba, P Spurek
arXiv preprint arXiv:2205.15745, 2022
132022
Estimating conditional density of missing values using deep Gaussian mixture model
M PrzewięĽlikowski, M ¦mieja, Ł Struski
International Conference on Neural Information Processing 2020, 220-231, 2020
112020
RegFlow: Probabilistic Flow-based Regression for Future Prediction
M Zięba, M PrzewięĽlikowski, M ¦mieja, J Tabor, T Trzcinski, P Spurek
arXiv preprint arXiv:2011.14620, 2020
72020
MisConv: Convolutional Neural Networks for Missing Data
M PrzewięĽlikowski, M ¦mieja, Ł Struski, J Tabor
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
42022
Zero time waste in pre-trained early exit neural networks
B Wójcik, M PrzewiȩĽlikowski, F Szatkowski, M Wołczyk, K Bałazy, ...
Neural Networks 168, 580-601, 2023
22023
The general framework for few-shot learning by kernel HyperNetworks
JTPS Marcin Sendera, Marcin PrzewiȩĽlikowski, Jan Miksa, Mateusz Rajski ...
Machine Vision and Applications 34, 2023
22023
Augmentation-aware Self-supervised Learning with Conditioned Projector
M PrzewięĽlikowski, M Pyla, B Zieliński, B Twardowski, J Tabor, M ¦mieja
arXiv preprint arXiv:2306.06082, 2023
12023
Hypernetwork approach to Bayesian MAML
P Borycki, P Kubacki, M PrzewięĽlikowski, T Ku¶mierczyk, J Tabor, ...
arXiv preprint arXiv:2210.02796, 2022
12022
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
P Batorski, D Malarz, M PrzewięĽlikowski, M Mazur, S Tadeja, P Spurek
arXiv preprint arXiv:2402.01524, 2024
2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
F Szatkowski, M Pyla, M PrzewięĽlikowski, S Cygert, B Twardowski, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Przetwarzanie niepełnych danych za pomoc± konwolucyjnych sieci neuronowych
M PrzewięĽlikowski
2021
Support for high-level quantum Bayesian inference
M PrzewięĽlikowski, M Grabowski, D Kurzyk, K Rycerz
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
2019
HyperShot: Few-Shot Learning by Kernel HyperNetworks–supplementary material
M Sendera, M Przewiezlikowski, K Karanowski, M Zieba, J Tabor, ...
Using Bayes Nets for Quantum Inferring of Acausal Systems of Events
M PrzewięĽlikowski, M Grabowski, K Rycerz, D Kurzyk, P Gawron
The system can't perform the operation now. Try again later.
Articles 1–15