Bartlomiej Twardowski

According to our database, Bartlomiej Twardowski authored at least 45 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Augmentation-aware self-supervised learning with conditioned projector.

Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja

Knowl. Based Syst., 2024

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning.

Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

CoRR, 2024

Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection.

Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartlomiej Twardowski

CoRR, 2024

Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning.

Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer

CoRR, 2024

GUIDE: Guidance-based Incremental Learning with Diffusion Models.

Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski

CoRR, 2024

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning.

Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski

IEEE Access, 2024

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning.

Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Divide and not forget: Ensemble of selectively trained experts in Continual Learning.

Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery.

Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

Proceedings of the Computer Vision - ECCV 2024, 2024

MAGMAX: Leveraging Model Merging for Seamless Continual Learning.

Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Supervision for Continual Representation Learning.

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

Proceedings of the Computer Vision - ECCV 2024, 2024

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation.

Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the Computer Vision - ECCV 2024, 2024

Zero-Waste Machine Learning.

Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers.

Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning.

Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification.

Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation.

Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartlomiej Twardowski, Joost van de Weijer

CoRR, 2023

Bayesian Flow Networks in Continual Learning.

Mateusz Pyla, Kamil Deja, Bartlomiej Twardowski, Tomasz Trzcinski

CoRR, 2023

FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems.

Francesco Fabbri, Xianghang Liu, Jack R. McKenzie, Bartlomiej Twardowski, Tri Kurniawan Wijaya

CoRR, 2023

Generalized Continual Category Discovery.

Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

CoRR, 2023

MM-GEF: Multi-modal representation meet collaborative filtering.

Hao Wu, Alejandro Ariza-Casabona, Bartlomiej Twardowski, Tri Kurniawan Wijaya

CoRR, 2023

Augmentation-aware Self-supervised Learning with Guided Projector.

Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja

CoRR, 2023

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning.

Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training.

Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning.

Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation.

Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Looking through the past: better knowledge retention for generative replay in continual learning.

Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ICICLE: Interpretable Class Incremental Continual Learning.

Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation.

Alejandro Ariza-Casabona, Bartlomiej Twardowski, Tri Kurniawan Wijaya

Proceedings of the Advances in Information Retrieval, 2023

2022

Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction.

Xianghang Liu, Bartlomiej Twardowski, Tri Kurniawan Wijaya

CoRR, 2022

Planckian jitter: enhancing the color quality of self-supervised visual representations.

Simone Zini, Marco Buzzelli, Bartlomiej Twardowski, Joost van de Weijer

CoRR, 2022

Continually Learning Self-Supervised Representations with Projected Functional Regularization.

Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

On the importance of cross-task features for class-incremental learning.

Albin Soutif-Cormerais, Marc Masana, Joost van de Weijer, Bartlomiej Twardowski

CoRR, 2021

Reducing Label Effort: Self-Supervised meets Active Learning.

Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Metric Learning for Session-Based Recommendations.

Bartlomiej Twardowski, Pawel Zawistowski, Szymon Zaborowski

Proceedings of the Advances in Information Retrieval, 2021

2020

Class-incremental learning: survey and performance evaluation.

Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer

CoRR, 2020

On Class Orderings for Incremental Learning.

Marc Masana, Bartlomiej Twardowski, Joost van de Weijer

CoRR, 2020

RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning.

Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Orderless Recurrent Models for Multi-Label Classification.

Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semantic Drift Compensation for Class-Incremental Learning.

Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Learning Optimization Tasks and Metaheuristic Methods.

Rafal Biedrzycki, Pawel Zawistowski, Bartlomiej Twardowski

Fundam. Informaticae, 2019

2016

Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks.

Bartlomiej Twardowski

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

IoT and Context-Aware Mobile Recommendations Using Multi-agent Systems.

Bartlomiej Twardowski, Dominik Ryzko

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014

Multi-agent Architecture for Real-Time Big Data Processing.

Bartlomiej Twardowski, Dominik Ryzko

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2012

Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites.

Bartlomiej Twardowski, Piotr Gawrysiak

Proceedings of the Multimedia and Internet Systems: Theory and Practice, 2012