Wojciech Masarczyk

22 papers A* 3B 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimizer choice matters for the emergence of Neural Collapse. CoRR Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk, Aurélien Lucchi
2025	J	`jnl`	Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Tin Sum Cheng, Tomasz Trzcinski, Aurélien Lucchi, Razvan Pascanu
2023	J	`jnl`	On consequences of finetuning on data with highly discriminative features. CoRR Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
2023	A*	`conf`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2023	J	`jnl`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2022	J	`jnl`	Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. CoRR Bartosz Grabowski, Przemyslaw Glomb, Wojciech Masarczyk, Pawel Plawiak, Özal Yildirim, U. Rajendra Acharya, Ru-San Tan
2022	J	`jnl`	Logarithmic Continual Learning. IEEE Access Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	J	`jnl`	Logarithmic Continual Learning. CoRR Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	A*	`conf`	Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
2022	J	`jnl`	Reinforcement learning with experience replay and adaptation of action dispersion. CoRR Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski
2021	B	`conf`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	J	`jnl`	Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	—	`conf`	On Robustness of Generative Representations Against Catastrophic Forgetting. ICONIP (6) Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
2021	J	`jnl`	On robustness of generative representations against catastrophic forgetting. CoRR Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
2021	A*	`conf`	Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2021	J	`jnl`	Reinforcement learning for optimization of variational quantum circuit architectures. CoRR Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2020	J	`jnl`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2020	J	`jnl`	Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
2020	—	`conf`	Reducing catastrophic forgetting with learning on synthetic data. CVPR Workshops Wojciech Masarczyk, Ivona Tautkute
2020	J	`jnl`	Reducing catastrophic forgetting with learning on synthetic data. CoRR Wojciech Masarczyk, Ivona Tautkute
2019	J	`jnl`	Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
2017	—	`conf`	Optimum size of feed forward neural network for Iris data set. SYSTEM Wojciech Masarczyk