Wojciech Masarczyk

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Hyperspectral Image Classification

Data Representations

Space Partitioning

Reinforcement Learning

Top Venues

Publications

Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS (2023)
Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
On consequences of finetuning on data with highly discriminative features. CoRR (2023)
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR (2023)
Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI (2022)
Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
Logarithmic Continual Learning. CoRR (2022)
Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru San Tan
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR (2022)
Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski
Reinforcement learning with experience replay and adaptation of action dispersion. CoRR (2022)
Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
Logarithmic Continual Learning. IEEE Access 10 (2022)
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS (2021)
Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR (2021)
Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
On robustness of generative representations against catastrophic forgetting. CoRR (2021)
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
Reinforcement learning for optimization of variational quantum circuit architectures. CoRR (2021)
Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
On Robustness of Generative Representations Against Catastrophic Forgetting. ICONIP (6) (2021)
Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN (2021)
Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. 12 (16) (2020)
Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR (2020)
Wojciech Masarczyk, Ivona Tautkute
Reducing catastrophic forgetting with learning on synthetic data. CoRR (2020)
Wojciech Masarczyk, Ivona Tautkute
Reducing catastrophic forgetting with learning on synthetic data. CVPR Workshops (2020)
Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR (2019)
Wojciech Masarczyk
Optimum size of feed forward neural network for Iris data set. SYSTEM (2017)