Szatkowski, Filip

10 publications

WACV 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head Wojciech Łapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzciński

ICML 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost Van De Weijer

ICLRW 2025 Maybe I Should Not Answer That, but... Do LLMs Understand the Safety of Their Inputs? Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubiński, Tomasz Trzcinski

WACV 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński

NeurIPS 2024 Exploiting Activation Sparsity with Dense to Dynamic-K Mixture-of-Experts Conversion Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

ICMLW 2024 Exploiting Activation Sparsity with Dense to Dynamic-K Mixture-of-Experts Conversion Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

ICML 2024 Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor

ICCVW 2023 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

ECML-PKDD 2023 Hypernetworks Build Implicit Neural Representations of Sounds Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

NeurIPSW 2022 HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks Filip Szatkowski, Karol J. Piczak, Przemysław Spurek, Jacek Tabor, Tomasz Trzcinski