Filip Szatkowski

According to our database, Filip Szatkowski authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head.

Wojciech Lapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzcinski

CoRR, 2024

Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization.

Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor

CoRR, 2024

Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning.

Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer

CoRR, 2024

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion.

Filip Szatkowski, Bartosz Wójcik, Mikolaj Piórczynski, Simone Scardapane

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization.

Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Zero time waste in pre-trained early exit neural networks.

Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski

Neural Networks, November, 2023

Exploiting Transformer Activation Sparsity with Dynamic Inference.

Mikolaj Piórczynski, Filip Szatkowski, Klaudia Balazy, Bartosz Wójcik

CoRR, 2023

Hypernetworks Build Implicit Neural Representations of Sounds.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning.

Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.

Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

CoRR, 2022

Progressive Latent Replay for Efficient Generative Rehearsal.

Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 29th International Conference, 2022