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researcher

Tim Yarally

2 papers hereh-index 251 citations2 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedUncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI

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

collaborators

2 papers

cs.LG2023

Batching for Green AI -- An Exploratory Study on Inference

Tim Yarally, Luís Cruz, Daniel Feitosa +2

The batch size is an essential parameter to tune during the development of new neural networks. Amongst other quality indicators, it has a large degree of influence on the model's…

cs.LG2023★ 2 cited

Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI

Tim Yarally, Luís Cruz, Daniel Feitosa +2

Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term "results" often refers to the achieved accuracy on a competitive pro…

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