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Timm Hess

6 papers hereh-index 450 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedTwo Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How

2 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

Forgetting, plasticity, and co-observation: a third facet of continual learning

Timm Hess, Abhishek Jha, Gido M. van de Ven +1

Efficient continual learning remains a fundamental challenge for deep neural networks. While catastrophic forgetting and loss of plasticity are widely considered the primary obstac…

cs.LG2026

Position: Modular Memory is the Key to Continual Learning Agents

Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov +21

Foundation models have transformed machine learning through large-scale pretraining and increased test-time compute. Despite surpassing human performance in several domains, these…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.