BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. - Kamil Deja; Pawel Wawrzynski; Daniel Marczak; Wojciech Masarczyk; Tomasz Trzcinski (IJCNN, 2021)

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. - Kamil Deja; Pawel Wawrzynski; Daniel Marczak; Wojciech Masarczyk; Tomasz Trzcinski (CoRR, 2021)

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. - Kamil Deja; Pawel Wawrzynski; Wojciech Masarczyk; Daniel Marczak; Tomasz Trzcinski (IJCAI, 2022)

Logarithmic Continual Learning. - Wojciech Masarczyk; Pawel Wawrzynski; Daniel Marczak; Kamil Deja; Tomasz Trzcinski (IEEE Access, 2022)

Generalized Continual Category Discovery. - Daniel Marczak; Grzegorz Rypesc; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (CoRR, 2023)

Revisiting Supervision for Continual Representation Learning. - Daniel Marczak; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (ECCV (6), 2024)

MAGMAX: Leveraging Model Merging for Seamless Continual Learning. - Daniel Marczak; Bartlomiej Twardowski; Tomasz Trzcinski; Sebastian Cygert (ECCV (85), 2024)

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. - Grzegorz Rypesc; Daniel Marczak; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski (ECCV (11), 2024)

Parameter-Efficient Interventions for Enhanced Model Merging. - Marcin Osial; Daniel Marczak; Bartosz Zielinski 001 (CoRR, 2024)

Parameter-Efficient Interventions for Enhanced Model Merging. - Marcin Osial; Daniel Marczak; Bartosz Zielmski (SDM, 2025)

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head. - Wojciech Lapacz; Daniel Marczak; Filip Szatkowski; Tomasz Trzcinski (WACV, 2025)

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 001 (CoRR, 2025)