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Approximately Bayes-Optimal Pseudo Label Selection
v1v2v3v4v5 (latest)

Approximately Bayes-Optimal Pseudo Label Selection

Conference on Uncertainty in Artificial Intelligence (UAI), 2023
17 February 2023
Julian Rodemann
Jann Goschenhofer
Emilio Dorigatti
T. Nagler
Thomas Augustin
ArXiv (abs)PDFHTMLGithub

Papers citing "Approximately Bayes-Optimal Pseudo Label Selection"

5 / 5 papers shown
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
416
3
0
12 May 2025
Reciprocal Learning
Reciprocal LearningNeural Information Processing Systems (NeurIPS), 2024
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
344
0
0
12 Aug 2024
Towards Bayesian Data Selection
Towards Bayesian Data Selection
Julian Rodemann
334
1
0
18 Jun 2024
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft
  Revision
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Stefan Dietrich
Julian Rodemann
Christoph Jansen
BDL
303
6
0
24 May 2024
Pseudo Label Selection is a Decision Problem
Pseudo Label Selection is a Decision Problem
Julian Rodemann
237
3
0
25 Sep 2023
1
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