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

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

15 February 2023
Aude Sportisse
Hugo Schmutz
O. Humbert
C. Bouveyron
Pierre-Alexandre Mattei
ArXivPDFHTML

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

3 / 3 papers shown
Title
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
22
17
0
29 Jun 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
15
100
0
24 Feb 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
206
506
0
15 Jan 2021
1