Daniel Marczak

21 papers A* 2A 2B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accurate and Efficient Low-Rank Model Merging in Core Space. CoRR Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartlomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer
2025	J	`jnl`	Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses. CoRR Stanislaw Pawlak, Jan Dubinski, Daniel Marczak, Bartlomiej Twardowski
2025	A	`conf`	Exploring the Stability Gap in Continual Learning: The Role of the Classification Head. WACV Wojciech Lapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzcinski
2025	A*	`conf`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. ICML Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	J	`jnl`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. CoRR Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	A	`conf`	Parameter-Efficient Interventions for Enhanced Model Merging. SDM Marcin Osial, Daniel Marczak, Bartosz Zielmski
2025	J	`jnl`	Variance-Covariance Regularization Improves Continual Learning. IEEE Access Piotr Hondra, Daniel Marczak, Kamil Deja
2024	—	`conf`	Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. ECCV (11) Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2024	J	`jnl`	Exploring the Stability Gap in Continual Learning: The Role of the Classification Head. CoRR Wojciech Lapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzcinski
2024	—	`conf`	MAGMAX: Leveraging Model Merging for Seamless Continual Learning. ECCV (85) Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
2024	J	`jnl`	MagMax: Leveraging Model Merging for Seamless Continual Learning. CoRR Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
2024	J	`jnl`	Parameter-Efficient Interventions for Enhanced Model Merging. CoRR Marcin Osial, Daniel Marczak, Bartosz Zielinski
2024	—	`conf`	Revisiting Supervision for Continual Representation Learning. ECCV (6) Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2023	J	`jnl`	Generalized Continual Category Discovery. CoRR Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2023	J	`jnl`	Revisiting Supervision for Continual Representation Learning. CoRR Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2022	J	`jnl`	Logarithmic Continual Learning. IEEE Access Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	J	`jnl`	Logarithmic Continual Learning. CoRR Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	A*	`conf`	Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
2021	B	`conf`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	J	`jnl`	Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2020	J	`jnl`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski