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researcher

Joel Hestness

30 papers hereh-index 187.9k citations48 works total

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

author position
  • first author2
  • middle author16
  • last author11

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.CL7
  • cs.AI3
  • cs.SE1
  • eess.IV1
same name
  • Joel Hestness — 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
20172026
most citedDeep Learning Scaling is Predictable, Empirically

424 citations · 505 across the 29 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

cs.LG2017★ 424 cited

Deep Learning Scaling is Predictable, Empirically

Joel Hestness, Sharan Narang, Newsha Ardalani +6

Deep learning (DL) creates impactful advances following a virtuous recipe: model architecture search, creating large training data sets, and scaling computation. It is widely belie…

cs.CL2017★ 4 cited

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting

Sercan O. Arik, Markus Kliegl, Rewon Child +5

Keyword spotting (KWS) constitutes a major component of human-technology interfaces. Maximizing the detection accuracy at a low false alarm (FA) rate, while minimizing the footprin…

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