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ACTOR: Active Learning with Annotator-specific Classification Heads to
  Embrace Human Label Variation

ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation

23 October 2023
Xinpeng Wang
Barbara Plank
ArXivPDFHTML

Papers citing "ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation"

2 / 2 papers shown
Title
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat
Smarika Lulz
Joachim Bingel
Isabelle Augenstein
96
51
0
28 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1