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Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

30 May 2022
Christoph Koller
Goran Kauermann
Xiao Xiang Zhu
    UQCV
ArXivPDFHTML

Papers citing "Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?"

3 / 3 papers shown
Title
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every Annotator
K. M. Collins
Umang Bhatt
Adrian Weller
16
44
0
02 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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