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The information of attribute uncertainties: what convolutional neural
  networks can learn about errors in input data

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data

10 August 2021
Natália Villa Nova Rodrigues
L. Abramo
Nina Sumiko Tomita Hirata
ArXivPDFHTML

Papers citing "The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data"

2 / 2 papers shown
Title
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Matias Valdenegro-Toro
Marco Zullich
BDL
PER
UQCV
UD
211
0
0
14 Jan 2025
Unified Uncertainties: Combining Input, Data and Model Uncertainty into
  a Single Formulation
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation
Matias Valdenegro-Toro
Ivo Pascal de Jong
Marco Zullich
UD
40
2
0
26 Jun 2024
1