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 | 677 | 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 | 335 | 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 | 128 | 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 | 115 | 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 | 74 | 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 | 63 | 2014 |
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 | 47 | 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 | 43 | 2022 |
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, 2024 | 31 | 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 | 28 | 2015 |
Semantic drift compensation for class-incremental learning. In 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 | 21 | 2020 |
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 | 20 | 2023 |
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 | 18 | 2024 |
On class orderings for incremental learning M Masana, B Twardowski, J Van de Weijer arXiv preprint arXiv:2007.02145, 2020 | 16 | 2020 |
On the importance of cross-task features for class-incremental learning A Soutif-Cormerais, M Masana, J Van de Weijer, B Twardowski arXiv preprint arXiv:2106.11930 1, 2021 | 14 | 2021 |
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 | 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 | 7 | 2022 |
Metric learning for session-based recommendations B Twardowski, P Zawistowski, S Zaborowski European Conference on Information Retrieval, 650-665, 2021 | 6 | 2021 |
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 | 5 | 2024 |
Exploiting graph structured cross-domain representation for multi-domain recommendation A Ariza-Casabona, B Twardowski, TK Wijaya European Conference on Information Retrieval, 49-65, 2023 | 5 | 2023 |