Gido M. van de Ven
3 papers in the PaperMetrix corpus
Papers by this author
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Energy-Based Models for Continual Learning
2020 · arXiv (Cornell University)
We motivate Energy-Based Models (EBMs) as a promising model class for continual learning problems. Instead of tackling continual learning via the use of external memory, growing models, or regularization, EBMs change the underlying training objective …
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Class-Incremental Learning with Generative Classifiers
2021
Incrementally training deep neural networks to recognize new classes is a challenging problem. Most existing class-incremental learning methods store data or use generative replay, both of which have drawbacks, while ‘rehearsal-free’ alternatives such as parameter …
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Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
2023 · arXiv (Cornell University)
Recent years have seen considerable progress in the continual training of deep neural networks, predominantly thanks to approaches that add replay or regularization terms to the loss function to approximate the joint loss over all …