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Bartłomiej Twardowski
Bartłomiej Twardowski
Computer Vision Center UAB, IDEAS NCBR
Verified email at cvc.uab.es
Title
Cited by
Cited by
Year
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
5282022
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
2902020
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
1242016
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
952020
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
652014
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
642021
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
412020
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
332022
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
262015
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, 13-19, 2020
182020
On class orderings for incremental learning
M Masana, B Twardowski, J Van de Weijer
arXiv preprint arXiv:2007.02145, 2020
162020
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
122023
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
122021
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
52022
Metric learning for session-based recommendations
B Twardowski, P Zawistowski, S Zaborowski
European Conference on Information Retrieval, 650-665, 2021
52021
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
42024
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
42024
Planckian jitter: enhancing the color quality of self-supervised visual representations
S Zini, M Buzzelli, B Twardowski
42021
On the importance of cross-task features for class-incremental learning
M Masana, J Van de Weijer, B Twardowski
arXiv preprint arXiv:2106.11930, 2021
42021
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
32024
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