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Twardowski, Bartłomiej

  1. Semantic Drift Compensation for Class-Incremental Learning
    2020/04/01 by Yu, Lu, Twardowski, Bartłomiej, Liu, Xialei +5 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. MagMax: Leveraging Model Merging for Seamless Continual Learning
    2024/07/08 by Daniel Marczak, Bartłomiej Twardowski, Marczak, Daniel +5 · 18 citations
    Computer Science · #Speech Recognition and Synthesis #Machine Learning in Healthcare #Topic Modeling
  3. FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
    2023/09/25 by Goswami, Dipam, Liu, Yuyang, Twardowski, Bartłomiej +1 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
    2025/02/07 by Marczak, Daniel, Magistri, Simone, Cygert, Sebastian +3 · 21 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. RATT: Recurrent Attention to Transient Tasks for Continual Image\n Captioning
    2020/07/13 by Riccardo Del Chiaro, Bartłomiej Twardowski, Del Chiaro, Riccardo +5 · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection #Advanced Image and Video Retrieval Techniques
  6. Divide and not forget: Ensemble of selectively trained experts in Continual Learning
    2024/01/18 by Grzegorz Rypeść, Sebastian Cygert, Rypeść, Grzegorz +9 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  7. Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
    2023/08/18 by Filip Szatkowski, Mateusz Pyla, Szatkowski, Filip +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  8. Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
    2024/05/29 by Dipam Goswami, Goswami, Dipam, Albin Soutif--Cormerais +9 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  9. On the importance of cross-task features for class-incremental learning
    2021/06/22 by Albin Soutif--Cormerais, Soutif--Cormerais, Albin, Marc Masana +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
  10. ICICLE: Interpretable Class Incremental Continual Learning
    2023/03/14 by Dawid Rymarczyk, Joost van de Weijer, Rymarczyk, Dawid +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
    2023/09/18 by Sójka, Damian, Cygert, Sebastian, Twardowski, Bartłomiej +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
    2022/02/16 by Zini, Simone, Gomez-Villa, Alex, Buzzelli, Marco +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
    2024/08/02 by Lu Yu, Yu, Lu, Zhe Tao +9 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  14. Accurate and Efficient Low-Rank Model Merging in Core Space
    2025/09/22 by Panariello, Aniello, Marczak, Daniel, Magistri, Simone +5 · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
    2023/08/23 by Rypeść, Grzegorz, Marczak, Daniel, Cygert, Sebastian +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
    2024/03/12 by Szatkowski, Filip, Zheng, Yaoyue, Yang, Fei +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. GUIDE: Guidance-based Incremental Learning with Diffusion Models
    2024/03/06 by Cywiński, Bartosz, Deja, Kamil, Trzciński, Tomasz +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
    2024/04/09 by Goswami, Dipam, Twardowski, Bartłomiej, van de Weijer, Joost · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
    2024/09/26 by Grzegorz Rypeść, Sebastian Cygert, Rypeść, Grzegorz +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)