17 citations · 24 across the 6 of their papers we have counts for
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cs.LG2023★ 17 cited
Continual Learning: Applications and the Road Forward
Eli Verwimp, Rahaf Aljundi, Shai Ben-David +17
Continual learning is a subfield of machine learning, which aims to allow machine learning models to continuously learn on new data, by accumulating knowledge without forgetting wh…
cs.LG2023★ 2 cited
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
Timm Hess, Eli Verwimp, Gido M. van de Ven +1
Continual learning research has shown that neural networks suffer from catastrophic forgetting "at the output level", but it is debated whether this is also the case at the level o…