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Gido M. van de Ven

  1. Three scenarios for continual learning
    2019/04/15 by Gido M. van de Ven, Andreas S. Tolias, van de Ven, Gido M. +1 · 63 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 #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  2. Generative replay with feedback connections as a general strategy for continual learning
    2018/09/27 by Gido M. van de Ven, Andreas S. Tolias, van de Ven, Gido M. +1 · 19 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 #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  3. Continual Learning and Catastrophic Forgetting
    2024/03/08 by Gido M. van de Ven, Nicholas Soures, van de Ven, Gido M. +3 · 20 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #Cognitive Science and Education Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
  4. Natural continual learning: success is a journey, not (just) a\n destination
    2021/06/15 by Ta-Chu Kao, Kao, Ta-Chu, Kristopher T. Jensen +7 · 6 citations
    Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neurons and Cognition (q-bio.NC)
  5. Continual evaluation for lifelong learning: Identifying the stability gap
    2022/05/26 by Matthias De Lange, De Lange, Matthias, Gido M. van de Ven +3 · 6 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)
  6. Hippocampal Offline Reactivation Consolidates Recently Formed Cell Assembly Patterns during Sharp Wave-Ripples
    2016/12/01 by Gido M. van de Ven, Stéphanie Trouche, Colin G. McNamara +2 · 3 citations
  7. On the Computation of the Fisher Information in Continual Learning
    2025/02/17 by Gido M. van de Ven, van de Ven, Gido M. · 1 voice · 6 citations
    Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #cs.AI #cs.CV #cs.LG #stat.ML
  8. Aligning Generalisation Between Humans and Machines
    2024/11/23 by Filip Ilievski, Ilievski, Filip, Barbara Hammer +47 · 5 voices · 1 citation
    #cs.AI
  9. Simple Lifelong Learning Machines
    2020/04/27 by Jayanta Dey, Joshua T. Vogelstein, Dey, Jayanta +27 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Prediction Error-based Classification for Class-Incremental Learning
    2023/05/30 by Michał Zając, Tinne Tuytelaars, Zając, Michał +3 · 1 citation
    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 (stat.ML) #Machine Learning in Healthcare
  11. Continual Learning Should Move Beyond Incremental Classification
    2025/02/17 by Rupert Mitchell, Antonio Alliegro, Mitchell, Rupert +40 · 1 voice · 1 citation
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification