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Marcin Przewiezlikowski
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2020 – today
- 2024
- [c7]Marcin Przewiezlikowski
, Marcin Osial
A Deep Cut Into Split Federated Self-Supervised Learning. ECML/PKDD (2) 2024: 444-459 - [c6]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. WACV 2024: 1966-1976 - [i10]Pawel Batorski, Dawid Malarz, Marcin Przewiezlikowski, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek:
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation. CoRR abs/2402.01524 (2024) - [i9]Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja:
A deep cut into Split Federated Self-supervised Learning. CoRR abs/2406.08267 (2024) - 2023
- [j2]Marcin Sendera
The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. 34(4): 53 (2023) - [j1]Bartosz Wójcik
Zero time waste in pre-trained early exit neural networks. Neural Networks 168: 580-601 (2023) - [c5]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. ICCV (Workshops) 2023: 3504-3509 - [c4]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV 2023: 2468-2477 - [i8]Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja:
Augmentation-aware Self-supervised Learning with Guided Projector. CoRR abs/2306.06082 (2023) - [i7]Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski:
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. CoRR abs/2308.09544 (2023) - 2022
- [c3]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. WACV 2022: 2917-2926 - [i6]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR abs/2203.11378 (2022) - [i5]Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR abs/2205.15745 (2022) - [i4]Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek:
Hypernetwork approach to Bayesian MAML. CoRR abs/2210.02796 (2022) - 2021
- [i3]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. CoRR abs/2110.14010 (2021) - 2020
- [c2]Marcin Przewiezlikowski
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) 2020: 220-231 - [i2]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski:
Estimating conditional density of missing values using deep Gaussian mixture model. CoRR abs/2010.02183 (2020) - [i1]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR abs/2011.14620 (2020)
2010 – 2019
- 2019
- [c1]Marcin Przewiezlikowski
Support for High-Level Quantum Bayesian Inference. ICCS (5) 2019: 764-770
Coauthor Index
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last updated on 2024-09-10 02:06 CEST by the dblp team
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