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Rethinking Test-time Likelihood: The Likelihood Path Principle and Its
  Application to OOD Detection

Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection

10 January 2024
Sicong Huang
Jiawei He
Kry Yik-Chau Lui
ArXivPDFHTML

Papers citing "Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection"

3 / 3 papers shown
Title
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
135
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
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
268
5,635
0
05 Dec 2016
1