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Amazon (Germany)

Germany

50 papers here560 citations across 50
fields
  • cs.LG17
  • cs.CL9
  • cs.CV5
  • cs.IR4
  • eess.AS3
  • stat.ML3
  • cs.DS2
  • cs.DB1
ROR 00b9ktm87OpenAlex

affiliations via OpenAlex

output
20152019
most citedBag of Freebies for Training Object Detection Neural Networks

147 citations

researchers with a paper here
  • Chao Wang3
  • Chieh-Chi Kao3
  • Edo Liberty2 profiles3 · h 29
  • Lambert Mathias3
  • Ming Sun2 profiles3
  • Mu Li3
  • Neil D. Lawrence3
  • Pushpendre Rastogi3
  • Tom Diethe3
  • Zohar Karnin3
  • Anton Milan2 · h 26
  • Arpit Gupta2
collaborating institutions
  • Carnegie Mellon UniversityUS4 papers
  • Johns Hopkins UniversityUS3 papers
  • Amazon (United States)US2 papers
  • The University of AdelaideAU2 papers
  • Toyota Technological Institute at ChicagoUS2 papers
  • Allen (United States)US1 paper
  • Apple (Germany)DE1 paper
  • Australian Centre for Robotic VisionAU1 paper
  • Colorado State UniversityUS1 paper
  • DELL (United States)US1 paper
  • Duke UniversityUS1 paper
  • Georgetown UniversityUS1 paper
Showing cs.DBShow all

1 paper · 1 filter

cs.DB2019★ 5 cited

Efficient Knowledge Graph Accuracy Evaluation

Junyang Gao, Xian Li, Yifan Ethan Xu +3

Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accu…

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