| Zero Time Waste: Recycling Predictions in Early Exit Neural Networks M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski Advances in Neural Information Processing Systems 34, 2516-2528, 2021 | 47 | 2021 |
| Machine learning-based identification of suicidal risk in patients with schizophrenia using multi-level resting-state fMRI features B Bohaterewicz, AM Sobczak, I Podolak, B Wójcik, D Mȩtel, AA Chrobak, ... Frontiers in neuroscience 14, 605697, 2021 | 25 | 2021 |
| Adversarial examples detection and analysis with layer-wise autoencoders B Wójcik, P Morawiecki, M Śmieja, T Krzyżek, P Spurek, J Tabor 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 18 | 2021 |
| 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 | 11 | 2023 |
| Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion F Szatkowski, B Wójcik, M Piórczyński, S Scardapane Advances in Neural Information Processing Systems 37, 43245-43273, 2024 | 10* | 2024 |
| Face Identity-Aware Disentanglement in StyleGAN A Suwała, B Wójcik, M Proszewska, J Tabor, P Spurek, M Śmieja Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 9 | 2024 |
| Continual Learning with Guarantees via Weight Interval Constraints M Wołczyk, K Piczak, B Wójcik, L Pustelnik, P Morawiecki, J Tabor, ... International Conference on Machine Learning, 23897-23911, 2022 | 9 | 2022 |
| LOSSGRAD: automatic learning rate in gradient descent B Wójcik, Ł Maziarka, J Tabor arXiv preprint arXiv:1902.07656, 2019 | 6 | 2019 |
| Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference B Wójcik, A Devoto, K Pustelnik, P Minervini, S Scardapane arXiv preprint arXiv:2312.10193, 2023 | 5 | 2023 |
| SLOVA: Uncertainty estimation using single label one-vs-all classifier B Wójcik, J Grela, M Śmieja, K Misztal, J Tabor Applied Soft Computing 126, 109219, 2022 | 5 | 2022 |
| Finding the Optimal Network Depth in Classification Tasks B Wójcik, M Wołczyk, K Bałazy, J Tabor Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 1 | 2020 |
| Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs? M Chrabąszcz, F Szatkowski, B Wójcik, J Dubiński, T Trzciński arXiv preprint arXiv:2502.16174, 2025 | | 2025 |
| Joint or Disjoint: Mixing Training Regimes for Early-Exit Models B Krzepkowski, M Michaluk, F Szarwacki, P Kubaty, J Pomponi, ... arXiv preprint arXiv:2407.14320, 2024 | | 2024 |
| Zero-Waste Machine Learning T Trzcinski, B Twardowski, B Zieliński, K Adamczewski, B Wójcik ECAI 2024, 43-49, 2024 | | 2024 |
| One-element Batch Training by Moving Window P Spurek, S Knop, J Tabor, I Podolak, B Wójcik arXiv preprint arXiv:1905.12947, 2019 | | 2019 |
| Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods K Rzecki, B Wójcik, M Baran, M Sułowicz International Conference on Artificial Intelligence and Soft Computing, 673-684, 2019 | | 2019 |