Bartłomiej Twardowski
Title
Cited by
Cited by
Year
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
972016
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
572014
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
532020
Class-incremental learning: survey and performance evaluation on image classification
M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer
arXiv preprint arXiv:2010.15277, 2020
472020
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
252020
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
162015
Ratt: Recurrent attention to transient tasks for continual image captioning
R Del Chiaro, B Twardowski, AD Bagdanov, J Van de Weijer
arXiv preprint arXiv:2007.06271, 2020
82020
Class-incremental learning: survey and performance evaluation on image classification
M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer
arXiv preprint arXiv:2010.15277, 2021
52021
On class orderings for incremental learning
M Masana, B Twardowski, J Van de Weijer
arXiv preprint arXiv:2007.02145, 2020
42020
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
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
12021
Widget detection on screenshots using computer vision and machine learning algorithms
K Radzikowski, K Chęciński, M Forc, Ł Lepak, M Jabłoński, W Kuśmirek, ...
Photonics Applications in Astronomy, Communications, Industry, and High …, 2019
12019
Deep Learning Optimization Tasks and Metaheuristic Methods
R Biedrzycki, P Zawistowski, B Twardowski
Fundamenta Informaticae 168 (2-4), 185-218, 2019
12019
Domain dependent product feature and opinion extraction based on e-commerce websites
B Twardowski, P Gawrysiak
Multimedia and Internet Systems: Theory and Practice, 261-270, 2013
12013
Continually Learning Self-Supervised Representations with Projected Functional Regularization
A Gomez-Villa, B Twardowski, L Yu, AD Bagdanov, J van de Weijer
arXiv preprint arXiv:2112.15022, 2021
2021
Reducing Label Effort: Self-Supervised meets Active Learning
J Zolfaghari Bengar, J van de Weijer, B Twardowski, B Raducanu
arXiv e-prints, arXiv: 2108.11458, 2021
2021
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
2021
Metric Learning for Session-based Recommendations
B Twardowski, P Zawistowski, S Zaborowski
arXiv preprint arXiv:2101.02655, 2021
2021
Paraphrase generation and evaluation: a view from the trenches
W Franus, B Twardowski, P Zawistowski, RM Nowak
Photonics Applications in Astronomy, Communications, Industry, and High …, 2019
2019
Exploiting random perturbations to defend against adversarial attacks
P Zawistowski, B Twardowski
Photonics Applications in Astronomy, Communications, Industry, and High …, 2018
2018
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Articles 1–20