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Preventing Arbitrarily High Confidence on Far-Away Data in
  Point-Estimated Discriminative Neural Networks

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks

7 November 2023
Ahmad Rashid
Serena Hacker
Guojun Zhang
Agustinus Kristiadi
Pascal Poupart
    OODD
ArXivPDFHTML

Papers citing "Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks"

4 / 4 papers shown
Title
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
149
45
0
09 Mar 2023
Posterior Refinement Improves Sample Efficiency in Bayesian Neural
  Networks
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi
Runa Eschenhagen
Philipp Hennig
BDL
21
12
0
20 May 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
270
5,660
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
9,136
0
06 Jun 2015
1