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The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks

The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks

2 July 2024
Mohammed Fellaji
Frédéric Pennerath
ArXivPDFHTML

Papers citing "The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks"

5 / 5 papers shown
Title
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
73
657
0
07 May 2021
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
211
8,807
0
25 Aug 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
64
1,717
0
08 Mar 2017
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
209
14,831
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
395
16,962
0
20 Dec 2013
1