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CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label
  Uncertainties (Technical Report)
v1v2 (latest)

CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)

Proceedings of the VLDB Endowment (PVLDB), 2021
19 July 2021
Yinjun Wu
James Weimer
S. Davidson
ArXiv (abs)PDFHTML

Papers citing "CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)"

2 / 2 papers shown
Title
Data Cleaning and Machine Learning: A Systematic Literature Review
Data Cleaning and Machine Learning: A Systematic Literature ReviewInternational Conference on Automated Software Engineering (ASE), 2023
Pierre-Olivier Coté
Amin Nikanjam
Nafisa Ahmed
D. Humeniuk
Foutse Khomh
247
63
0
03 Oct 2023
Learning to Select Pivotal Samples for Meta Re-weighting
Learning to Select Pivotal Samples for Meta Re-weightingAAAI Conference on Artificial Intelligence (AAAI), 2023
Yinjun Wu
Adam Stein
Jacob R. Gardner
Mayur Naik
151
2
0
09 Feb 2023
1