| Class-incremental learning: survey and performance evaluation on image classification M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5513-5533, 2022 | 814 | 2022 |
| Semantic drift compensation for class-incremental learning L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, J Weijer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 373 | 2020 |
| Modelling contextual information in session-aware recommender systems with neural networks B Twardowski Proceedings of the 10th ACM Conference on Recommender Systems, 273-276, 2016 | 129 | 2016 |
| Orderless recurrent models for multi-label classification VO Yazici, A Gonzalez-Garcia, A Ramisa, B Twardowski, J Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 128 | 2020 |
| Reducing label effort: Self-supervised meets active learning JZ Bengar, J van de Weijer, B Twardowski, B Raducanu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 75 | 2021 |
| Multi-agent architecture for real-time big data processing B Twardowski, D Ryzko 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 64 | 2014 |
| Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning D Goswami, Y Liu, B Twardowski, J Van De Weijer Advances in Neural Information Processing Systems 36, 6582-6595, 2023 | 56 | 2023 |
| Ratt: Recurrent attention to transient tasks for continual image captioning R Del Chiaro, B Twardowski, A Bagdanov, J Van de Weijer Advances in Neural Information Processing Systems 33, 16736-16748, 2020 | 56 | 2020 |
| Continually learning self-supervised representations with projected functional regularization A Gomez-Villa, B Twardowski, L Yu, AD Bagdanov, J Van de Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47 | 2022 |
| Divide and not forget: Ensemble of selectively trained experts in continual learning G Rypeść, S Cygert, V Khan, T Trzciński, B Zieliński, B Twardowski arXiv preprint arXiv:2401.10191, 2024 | 34 | 2024 |
| IoT and context-aware mobile recommendations using multi-agent systems B Twardowski, D Ryzko 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 29 | 2015 |
| Icicle: Interpretable class incremental continual learning D Rymarczyk, J Van De Weijer, B Zieliński, B Twardowski Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Semantic drift compensation for class-incremental learning. 2020 IEEE L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, ... CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6980-6989, 2020 | 23 | 2020 |
| On the importance of cross-task features for class-incremental learning A Soutif-Cormerais, M Masana, J Van de Weijer, B Twardowski International Conference on Machine Learning (ICML) Workshops 2, 2021 | 17 | 2021 |
| On class orderings for incremental learning M Masana, B Twardowski, J Van de Weijer arXiv preprint arXiv:2007.02145, 2020 | 17 | 2020 |
| Plasticity-optimized complementary networks for unsupervised continual learning A Gomez-Villa, B Twardowski, K Wang, J Van de Weijer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 16 | 2024 |
| 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 |
| Magmax: Leveraging model merging for seamless continual learning D Marczak, B Twardowski, T Trzciński, S Cygert European Conference on Computer Vision, 379-395, 2024 | 13 | 2024 |
| Planckian jitter: countering the color-crippling effects of color jitter on self-supervised training S Zini, A Gomez-Villa, M Buzzelli, B Twardowski, AD Bagdanov, ... arXiv preprint arXiv:2202.07993, 2022 | 13 | 2022 |
| Resurrecting old classes with new data for exemplar-free continual learning D Goswami, A Soutif-Cormerais, Y Liu, S Kamath, B Twardowski, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
