Cygert, Sebastian

11 publications

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
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
ECCV 2024 Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
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
ECCV 2024 MagMax: Leveraging Model Merging for Seamless Continual Learning Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
ECCV 2024 Revisiting Supervision for Continual Representation Learning Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
NeurIPS 2024 Task-Recency Bias Strikes Back: Adapting Covariances in Exemplar-Free Class Incremental Learning Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski
ICCVW 2023 AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
ICCVW 2023 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
ICCVW 2023 Looking Through the past: Better Knowledge Retention for Generative Replay in Continual Learning Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
NeurIPSW 2023 Revisiting Supervision for Continual Representation Learning Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartłomiej Twardowski