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Bartłomiej Twardowski
Bartłomiej Twardowski
Computer Vision Center UAB, IDEAS NCBR
Zweryfikowany adres z cvc.uab.es
Tytuł
Cytowane przez
Cytowane przez
Rok
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
4252022
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
2502020
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
1212016
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
902020
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
632014
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
562021
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
282022
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
222015
On class orderings for incremental learning
M Masana, B Twardowski, J Van de Weijer
arXiv preprint arXiv:2007.02145, 2020
162020
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, 13-19, 2020
152020
On the importance of cross-task features for class-incremental learning
A Soutif-Cormerais, M Masana, J Van de Weijer, B Twardowski
CoRR, 2021
102021
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
62023
Metric learning for session-based recommendations
B Twardowski, P Zawistowski, S Zaborowski
European Conference on Information Retrieval, 650-665, 2021
52021
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
42022
Planckian jitter: enhancing the color quality of self-supervised visual representations
S Zini, M Buzzelli, B Twardowski
42021
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
32023
Automatic clustering methods of offers in an e-commerce marketplace
A Wroblewska, B Twardowski, P Zawistowski, D Ryżko
Machine Intelligence and Big Data in Industry, 147-160, 2016
32016
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
X Liu, B Twardowski, TK Wijaya
arXiv preprint arXiv:2209.00629, 2022
22022
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
22021
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