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Wojciech Masarczyk
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2020 – today
- 2023
- [c7]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS 2023 - [i11]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR abs/2305.19753 (2023) - [i10]Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski:
On consequences of finetuning on data with highly discriminative features. CoRR abs/2310.19537 (2023) - 2022
- [j2]Wojciech Masarczyk
, Pawel Wawrzynski
Logarithmic Continual Learning. IEEE Access 10: 117001-117010 (2022) - [c6]Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI 2022: 2902-2908 - [i9]Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski:
Logarithmic Continual Learning. CoRR abs/2201.06534 (2022) - [i8]Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski:
Reinforcement learning with experience replay and adaptation of action dispersion. CoRR abs/2208.00156 (2022) - [i7]Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR abs/2210.14253 (2022) - 2021
- [c5]Wojciech Masarczyk
On Robustness of Generative Representations Against Catastrophic Forgetting. ICONIP (6) 2021: 325-333 - [c4]Kamil Deja
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN 2021: 1-8 - [c3]Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko:
Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS 2021: 18182-18194 - [i6]Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko:
Reinforcement learning for optimization of variational quantum circuit architectures. CoRR abs/2103.16089 (2021) - [i5]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR abs/2106.12196 (2021) - [i4]Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski:
On robustness of generative representations against catastrophic forgetting. CoRR abs/2109.01844 (2021) - 2020
- [j1]Wojciech Masarczyk
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. 12(16): 2653 (2020) - [c2]Wojciech Masarczyk, Ivona Tautkute:
Reducing catastrophic forgetting with learning on synthetic data. CVPR Workshops 2020: 1019-1024 - [i3]Wojciech Masarczyk, Ivona Tautkute:
Reducing catastrophic forgetting with learning on synthetic data. CoRR abs/2004.14046 (2020) - [i2]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR abs/2011.14960 (2020)
2010 – 2019
- 2019
- [i1]Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR abs/1909.05507 (2019) - 2017
- [c1]Wojciech Masarczyk:
Optimum size of feed forward neural network for Iris data set. SYSTEM 2017: 14-19
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