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Out-of-Distribution Example Detection in Deep Neural Networks using
  Distance to Modelled Embedding

Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding

24 August 2021
Rickard Sjögren
J. Trygg
    OODD
ArXivPDFHTML

Papers citing "Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding"

4 / 4 papers shown
Title
phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors
Juniper Tyree
Andreas Rupp
Petri S. Clusius
Michael Boy
OODD
69
0
0
07 Mar 2025
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
5,675
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
9,145
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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