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Entropic Issues in Likelihood-Based OOD Detection

Entropic Issues in Likelihood-Based OOD Detection

22 September 2021
Anthony L. Caterini
Gabriel Loaiza-Ganem
    OODD
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Papers citing "Entropic Issues in Likelihood-Based OOD Detection"

10 / 10 papers shown
Title
Perfect density models cannot guarantee anomaly detection
Perfect density models cannot guarantee anomaly detection
Charline Le Lan
Laurent Dinh
42
50
0
07 Dec 2020
Likelihood Regret: An Out-of-Distribution Detection Score For
  Variational Auto-encoder
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao
Qing Yan
Y. Amit
OODD
83
190
0
06 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
135
1,662
0
05 Dec 2019
Input complexity and out-of-distribution detection with likelihood-based
  generative models
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
90
276
0
25 Sep 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
126
717
0
07 Jun 2019
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
...
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
130
858
0
28 Nov 2017
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
157
8,807
0
25 Aug 2017
Linear dynamical neural population models through nonlinear embeddings
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao
Evan Archer
Liam Paninski
John P. Cunningham
52
155
0
26 May 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
356
16,962
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
171
12,384
0
24 Jun 2012
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