| Hypernetworks build implicit neural representations of sounds F Szatkowski, KJ Piczak, P Spurek, J Tabor, T Trzciński Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 18* | 2023 |
| Adapt your teacher: Improving knowledge distillation for exemplar-free continual learning F Szatkowski, M Pyla, M Przewięźlikowski, S Cygert, B Twardowski, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 15 | 2024 |
| Zero time waste in pre-trained early exit neural networks B Wójcik, M Przewiȩźlikowski, F Szatkowski, M Wołczyk, K Bałazy, ... Neural Networks 168, 580-601, 2023 | 10 | 2023 |
| Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion F Szatkowski, B Wójcik, M Piórczyński, S Scardapane The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 9* | 2024 |
| Progressive latent replay for efficient generative rehearsal S Pawlak, F Szatkowski, M Bortkiewicz, J Dubiński, T Trzciński International Conference on Neural Information Processing, 457-467, 2022 | 2 | 2022 |
| Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization A Nowak, Ł Gniecki, F Szatkowski, J Tabor Forty-first International Conference on Machine Learning, 0 | 1 | |
| Exploring the Stability Gap in Continual Learning: The Role of the Classification Head W Łapacz, D Marczak, F Szatkowski, T Trzciński arXiv preprint arXiv:2411.04723, 2024 | | 2024 |
| Auxiliary Classifiers Improve Stability and Efficiency in Continual Learning F Szatkowski, F Yang, BĹ Twardowski, J van de Weijer arXiv preprint arXiv:2403.07404, 2024 | | 2024 |
| Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning F Szatkowski, F Yang, B Twardowski, T Trzcinski, J van de Weijer | | 2024 |
