| Hypersound: Generating implicit neural representations of audio signals with hypernetworks F Szatkowski, KJ Piczak, P Spurek, J Tabor, T Trzciński arXiv preprint arXiv:2211.01839, 2022 | 7 | 2022 |
| Exploiting Transformer Activation Sparsity with Dynamic Inference M Piórczyński, F Szatkowski, K Ba³azy, B Wójcik arXiv preprint arXiv:2310.04361, 2023 | 3 | 2023 |
| Zero time waste in pre-trained early exit neural networks B Wójcik, M Przewiȩ¼likowski, F Szatkowski, M Wo³czyk, K Ba³azy, ... Neural Networks 168, 580-601, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2022 |
| Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning F Szatkowski, F Yang, B Twardowski, T Trzciński, J van de Weijer arXiv preprint arXiv:2403.07404, 2024 | | 2024 |
| Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning F Szatkowski, M Pyla, M Przewiź¼likowski, S Cygert, B Twardowski, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization A Nowak, £ Gniecki, F Szatkowski, J Tabor | | 2023 |
| SADMoE: Exploiting Activation Sparsity with Dynamic-k Gating F Szatkowski, B Wójcik, M Piórczyński, K Adamczewski arXiv e-prints, arXiv: 2310.04361, 2023 | | 2023 |
