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 | 17* | 2023 |
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 | 13 | 2024 |
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 | 10* | 2024 |
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 | 8 | 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 |
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization A Nowak, £ 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 £apacz, D Marczak, F Szatkowski, T Trzciński arXiv preprint arXiv:2411.04723, 2024 | | 2024 |
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 |