Gido M. van de Ven

33 papers A* 2Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification. CoRR Dipam Goswami, Simone Magistri, Gido M. van de Ven, Bartlomiej Twardowski, Andrew D. Bagdanov, Tinne Tuytelaars, Joost van de Weijer
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability. CoRR Sergi Masip, Gido M. van de Ven, Javier Ferrando, Tinne Tuytelaars
2026	J	`jnl`	Revisiting Weight Regularization for Low-Rank Continual Learning. CoRR Yaoyue Zheng, Yin Zhang, Joost van de Weijer, Gido M. van de Ven, Shaoyi Du, Xuetao Zhang, Zhiqiang Tian
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	J	`jnl`	Continual learning in the presence of repetition. Neural Networks Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo E. Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
2025	J	`jnl`	Forgetting of task-specific knowledge in model merging-based continual learning. CoRR Timm Hess, Gido M. van de Ven, Tinne Tuytelaars
2025	J	`jnl`	On the Computation of the Fisher Information in Continual Learning. CoRR Gido M. van de Ven
2025	J	`jnl`	Simple Lifelong Learning Machines. IEEE Trans. Pattern Anal. Mach. Intell. Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe
2024	J	`jnl`	Aligning Generalisation Between Humans and Machines. CoRR Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024	J	`jnl`	Continual Learning and Catastrophic Forgetting. CoRR Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
2024	J	`jnl`	Continual Learning in the Presence of Repetition. CoRR Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo E. Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
2024	—	`conf`	Continual Learning of Diffusion Models with Generative Distillation. CoLLAs Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	—	`conf`	Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization. CoLLAs Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2024	J	`jnl`	Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting. Trans. Mach. Learn. Res. Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars
2024	A*	`conf`	Prediction Error-based Classification for Class-Incremental Learning. ICLR Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven
2023	J	`jnl`	Continual Learning of Diffusion Models with Generative Distillation. CoRR Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	A*	`conf`	Continual evaluation for lifelong learning: Identifying the stability gap. ICLR Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars
2023	J	`jnl`	Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2023	J	`jnl`	Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting. CoRR Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars
2023	J	`jnl`	Prediction Error-based Classification for Class-Incremental Learning. CoRR Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven
2023	—	`conf`	Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How. CLAI Unconf Timm Hess, Tinne Tuytelaars, Gido M. van de Ven
2023	J	`jnl`	Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How. CoRR Timm Hess, Tinne Tuytelaars, Gido M. van de Ven
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
2022	J	`jnl`	Three types of incremental learning. Nat. Mac. Intell. Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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 Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	—	`conf`	Class-Incremental Learning With Generative Classifiers. CVPR Workshops Gido M. van de Ven, Zhe Li, Andreas S. Tolias
2021	J	`jnl`	Class-Incremental Learning with Generative Classifiers. CoRR Gido M. van de Ven, Zhe Li, Andreas S. Tolias
2020	J	`jnl`	Energy-Based Models for Continual Learning. CoRR Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch
2019	J	`jnl`	Three scenarios for continual learning. CoRR Gido M. van de Ven, Andreas S. Tolias