Accepted to ICPR 2026

Our paper has been accepted to the 28th International Conference on Pattern Recognition (ICPR 2026). This paper proposes a model-merging-based continual learning method that can consider performance preferences.

  • Kei Hiroshima, Kento Uchida, Shinichi Shirakawa: Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning, 28th International Conference on Pattern Recognition (ICPR 2026), Lyon, France, August 17-22, 2026.