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United States

36 papers here709 citations across 36
fields
  • cs.CV13
  • cs.HC9
  • cs.LG2
  • cs.SE2
  • cs.SI2
  • stat.ME2
  • cs.GR1
  • cs.IR1
ROR 04dgkhg68OpenAlex

affiliations via OpenAlex

output
20152025
most citedSlimmable Neural Networks

235 citations

researchers with a paper here
  • A. Monroy-Hernández6 · h 34
  • Yozen Liu5 · h 16
  • Fannie Liu4 · h 12
  • Jianchao Yang4 · h 52
  • Rajan Vaish2 profiles4 · h 15
  • Menglei Chai3 · h 28
  • Neil Shah3 · h 34
  • Thomas S. Huang3 · h 152
  • Xiaolin Shi3 · h 20
  • Aditya Kumar2 · h 5
  • Ayushi Rastogi2 · h 15
  • Brian A. Smith2 · h 10
collaborating institutions
  • Carnegie Mellon UniversityUS5 papers
  • University of WashingtonUS5 papers
  • Princeton UniversityUS3 papers
  • Northwestern UniversityUS2 papers
  • Pennsylvania State UniversityUS2 papers
  • Stony Brook UniversityUS2 papers
  • University of GroningenNL2 papers
  • University of Illinois Urbana-ChampaignUS2 papers
  • University of Southern CaliforniaUS2 papers
  • Adobe Systems (United States)US1 paper
  • BC Platforms (Finland)FI1 paper
  • Brandman UniversityUS1 paper
Showing 2018Show all

1 paper · 1 filter

cs.CV2018★ 235 cited

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu +2

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-eff…

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