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Artem Alekberov

1 paper hereh-index 156 citations1 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedRevisiting Pretraining Objectives for Tabular Deep Learning

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 6 cited

Revisiting Pretraining Objectives for Tabular Deep Learning

Ivan Rubachev, Artem Alekberov, Yury Gorishniy +1

Recent deep learning models for tabular data currently compete with the traditional ML models based on decision trees (GBDT). Unlike GBDT, deep models can additionally benefit from…

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