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researcher

Simon Schug

12 papers hereh-index 8227 citations15 works total

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

author position
  • sole author1
  • first author4
  • middle author6
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CL2

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedLearning where to learn: Gradient sparsity in meta and continual learning

24 citations · 34 across the 9 of their papers we have counts for

collaborators
Showing 2026 · cs.LGShow all

1 paper · 2 filters

cs.LG2026

Sparsely gated tiny linear experts

Simon Schug

Sparsity allows scaling model parameters without proportionally increasing computational cost. While mixture of experts (MoE) models are made increasingly sparse, individual expert…

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