Bartlomiej Twardowski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
11
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | The Art of Deception: Color Visual Illusions and Diffusion Models. | Alexandra Gomez-Villa, Kai Wang, C. Alejandro Prraga, Bartlomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van de Weijer |
| 2025 | ECAI | GUIDE: Guidance-Based Incremental Learning with Diffusion Models. | Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski |
| 2025 | ICML | No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. | Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer |
| 2025 | ICML | Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers. | Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartlomiej Twardowski, Joost van de Weijer |
| 2024 | BMVC | AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. | Damian Sjka, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. | Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer |
| 2024 | ECAI | Zero-Waste Machine Learning. | Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wjcik |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Revisiting Supervision for Continual Representation Learning. | Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski |
| 2024 | ECCV | MAGMAX: Leveraging Model Merging for Seamless Continual Learning. | Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert |
| 2024 | ECCV | Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. | Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski |
| 2024 | ICLR | Divide and not forget: Ensemble of selectively trained experts in Continual Learning. | Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski |
| 2024 | WACV | Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. | Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer |
| 2024 | WACV | Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. | Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski |
| 2023 | ECIR | Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation. | Alejandro Ariza-Casabona, Bartlomiej Twardowski, Tri Kurniawan Wijaya |
| 2023 | ICCV | ICICLE: Interpretable Class Incremental Continual Learning. | Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski |
| 2023 | ICLR | 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 |
| 2022 | CVPR | Continually Learning Self-Supervised Representations with Projected Functional Regularization. | Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer |
| 2021 | ECIR | Metric Learning for Session-Based Recommendations. | Bartlomiej Twardowski, Pawel Zawistowski, Szymon Zaborowski |
| 2020 | CVPR | 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 |
| 2020 | CVPR | Orderless Recurrent Models for Multi-Label Classification. | Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer |
| 2016 | RecSys | Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks. | Bartlomiej Twardowski |
| 2012 | MISSI | Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites. | Bartlomiej Twardowski, Piotr Gawrysiak |