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Approximations to the Fisher Information Metric of Deep Generative
  Models for Out-Of-Distribution Detection

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

3 March 2024
Sam Dauncey
Chris Holmes
Christopher Williams
Fabian Falck
ArXivPDFHTML

Papers citing "Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection"

4 / 4 papers shown
Title
Entropic Issues in Likelihood-Based OOD Detection
Entropic Issues in Likelihood-Based OOD Detection
Anthony L. Caterini
G. Loaiza-Ganem
OODD
24
15
0
22 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
143
103
0
14 Jul 2021
Hierarchical VAEs Know What They Don't Know
Hierarchical VAEs Know What They Don't Know
Jakob Drachmann Havtorn
J. Frellsen
Søren Hauberg
Lars Maaløe
DRL
30
71
0
16 Feb 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
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