van de Ven, Gido M

7 publications

CoLLAs 2024 Continual Learning of Diffusion Models with Generative Distillation Sergi Masip, Pau Rodriguez, Tinne Tuytelaars, Gido M van de Ven

TMLR 2024 Continual Learning: Applications and the Road Forward Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M van de Ven

TMLR 2024 Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting Timm Hess, Eli Verwimp, Gido M van de Ven, Tinne Tuytelaars

ICLR 2024 Prediction Error-Based Classification for Class-Incremental Learning Michał Zając, Tinne Tuytelaars, Gido M van de Ven

ICLR 2023 Continual Evaluation for Lifelong Learning: Identifying the Stability Gap Matthias De Lange, Gido M van de Ven, Tinne Tuytelaars

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CVPRW 2021 Class-Incremental Learning with Generative Classifiers Gido M. van de Ven, Zhe Li, Andreas S. Tolias