Wojciech Masarczyk

According to our database, Wojciech Masarczyk authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On consequences of finetuning on data with highly discriminative features.

Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski

CoRR, 2023

The Tunnel Effect: Building Data Representations in Deep Neural Networks.

Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks.

Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru San Tan

CoRR, 2022

Reinforcement learning with experience replay and adaptation of action dispersion.

Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski

CoRR, 2022

Logarithmic Continual Learning.

Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski

IEEE Access, 2022

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

CoRR, 2021

Reinforcement learning for optimization of variational quantum circuit architectures.

Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

Proceedings of the International Joint Conference on Neural Networks, 2021

On Robustness of Generative Representations Against Catastrophic Forgetting.

Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling.

Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski

Remote. Sens., 2020

Reducing catastrophic forgetting with learning on synthetic data.

Wojciech Masarczyk, Ivona Tautkute

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Effective transfer learning for hyperspectral image classification with deep convolutional neural networks.

Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski

CoRR, 2019

2017

Optimum size of feed forward neural network for Iris data set.

Wojciech Masarczyk

Proceedings of the Symposium for Young Scientists in Technology, 2017