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Microsoft (United States)

United States

865 papers here51k citations across 865
fields
  • cs.LG120
  • cond-mat.str-el62
  • cs.CV54
  • cs.AI49
  • cs.CL48
  • cs.HC44
  • cond-mat.mes-hall42
  • cs.IR40
ROR 00d0nc645OpenAlex

affiliations via OpenAlex

output
20022024
most citedNon-Abelian Anyons and Topological Quantum Computation

7k citations

researchers with a paper here
  • C. Nayak24 · h 59
  • A. Feiguin19 · h 31
  • E. Horvitz19 · h 100
  • S. Trebst19 · h 43
  • M. Troyer16 · h 80
  • Zhenghan Wang2 profiles15 · h 51
  • Y. Peres14 · h 75
  • A. Monroy-Hernández12 · h 34
  • C. Borgs12 · h 56
  • J. Chayes12 · h 58
  • Parsa Bonderson12 · h 28
  • Christopher Meek11 · h 55
collaborating institutions
  • University of California, Santa BarbaraUS109 papers
  • Microsoft Research (United Kingdom)GB47 papers
  • ETH ZurichCH46 papers
  • University of California, BerkeleyUS45 papers
  • University of Maryland, College ParkUS43 papers
  • Carnegie Mellon UniversityUS41 papers
  • Stanford UniversityUS39 papers
  • University of WashingtonUS36 papers
  • Cornell UniversityUS32 papers
  • Princeton UniversityUS31 papers
  • California Institute of TechnologyUS28 papers
  • Georgia Institute of TechnologyUS24 papers
Showing 2016 · cs.IRShow all

1 paper · 2 filters

cs.IR2016★ 12 cited

Learning to Match Using Local and Distributed Representations of Text for Web Search

Bhaskar Mitra, Fernando Diaz, Nick Craswell

Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent seman…

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