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researcher

Andreas Veit

Google

18 papers hereh-index 279.8k citations46 works total

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

author position
  • first author2
  • middle author14
  • last author2

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG7
  • cs.CL1
  • cs.CR1
  • cs.IR1
  • math.OC1
affiliations
  • Google
Homepage
same name
  • Andreas Veit — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedOn the Reproducibility of Neural Network Predictions

17 citations · 43 across the 10 of their papers we have counts for

collaborators
Showing 2019 · math.OCShow all

1 paper · 2 filters

math.OC2019

Why are Adaptive Methods Good for Attention Models?

Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit +4

While stochastic gradient descent (SGD) is still the \emph{de facto} algorithm in deep learning, adaptive methods like Clipped SGD/Adam have been observed to outperform SGD across…

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