most citedAre labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism

1 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.

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2 papers

cs.DL2024

Impact of a reclassification of Web of Science articles on bibliometric indicators

Agénor Lahatte, Élisabeth de Turckheim

This work aims at evaluating a reclassification of Web of Science articles implemented at OST. Articles from the 254 scientific categories of the Web of Science were reclassified a…

stat.ML2023★ 1 cited

Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism

Aude Sportisse, Hugo Schmutz, Olivier Humbert +2

Semi-supervised learning is a powerful technique for leveraging unlabeled data to improve machine learning models, but it can be affected by the presence of ``informative'' labels,…