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Nippon Soda (Japan)

Japan

15 papers here170 citations across 15
fields
  • cs.LG5
  • cs.AI3
  • cs.CY2
  • stat.ME2
  • stat.ML2
  • cs.IR1
ROR 01estnb82OpenAlex

affiliations via OpenAlex

output
20222026
most citedWhy do tree-based models still outperform deep learning on tabular data?

159 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • G. Varoquaux8 · h 66
  • Jill-Jênn Vie6 · h 16
  • Hisashi Kashima2 profiles3 · h 5
  • J. Alberge3 · h 3
  • Judith Ab'ecassis3 · h 1
  • Edouard Oyallon2 · h 18
  • Koh Takeuchi2 · h 5
  • Léo Grinsztajn2 · h 7
  • Marine Le Morvan2 profiles2 · h 10
  • O. Grisel2 · h 17
  • V. Maladière2 · h 3
  • Abdelkayoum Kaddouri1 · h 0
collaborating institutions
  • École PolytechniqueFR3 papers
  • Centre Inria de SaclayFR2 papers
  • Institut Systèmes Intelligents et de RobotiqueFR2 papers
  • Advanced Inhalation Therapies (Israel)IL1 paper
  • Beth Israel Deaconess Medical CenterUS1 paper
  • Centre BorelliFR1 paper
  • Criteo (France)FR1 paper
  • Harvard UniversityUS1 paper
  • Immune Deficiency FoundationUS1 paper
  • Institut de Biologie de l'École Normale SupérieureFR1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • Kantonsspital AarauCH1 paper
Showing 2023 · stat.MLShow all

1 paper · 2 filters

stat.ML2023

Vectorizing string entries for data processing on tables: when are larger language models better?

Léo Grinsztajn, Edouard Oyallon, Myung Jun Kim +1

There are increasingly efficient data processing pipelines that work on vectors of numbers, for instance most machine learning models, or vector databases for fast similarity searc…

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