Twardowski, Bartłomiej

15 publications

NeurIPS 2025 Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer

CoLLAs 2025 Addressing the Devastating Effects of Single-Task Data Poisoning in Exemplar-Free Continual Learning Stanisław Pawlak, Bartłomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer

NeurIPS 2025 Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICML 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost Van De Weijer

ICML 2025 No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

CoLLAs 2025 Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models Dipam Goswami, Liying Wang, Bartłomiej Twardowski, Joost van de Weijer

CVPR 2025 The Art of Deception: Color Visual Illusions and Diffusion Models Alexandra Gomez-Villa, Kai Wang, C.Alejandro Parraga, Bartłomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van den Weijer

WACV 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński

ICLR 2024 Divide and Not Forget: Ensemble of Selectively Trained Experts in Continual Learning Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Michał Zieliński, Bartłomiej Twardowski

NeurIPS 2024 Task-Recency Bias Strikes Back: Adapting Covariances in Exemplar-Free Class Incremental Learning Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski

NeurIPS 2023 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de Weijer

ICLR 2023 Planckian Jitter: Countering the Color-Crippling Effects of Color Jitter on Self-Supervised Training Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

NeurIPSW 2023 Revisiting Supervision for Continual Representation Learning Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartłomiej Twardowski

NeurIPS 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICMLW 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer