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Deep Generative Models Strike Back! Improving Understanding and
  Evaluation in Light of Unmet Expectations for OoD Data

Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data

12 November 2019
John Just
Sambuddha Ghosal
    DiffMDRL
ArXiv (abs)PDFHTML

Papers citing "Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data"

3 / 3 papers shown
Title
Entropic Issues in Likelihood-Based OOD Detection
Entropic Issues in Likelihood-Based OOD Detection
M. Volkovs
Gabriel Loaiza-Ganem
OODD
280
17
0
22 Sep 2021
Perfect density models cannot guarantee anomaly detection
Perfect density models cannot guarantee anomaly detection
Charline Le Lan
Laurent Dinh
376
54
0
07 Dec 2020
Granular Learning with Deep Generative Models using Highly Contaminated
  Data
Granular Learning with Deep Generative Models using Highly Contaminated Data
John Just
69
0
0
06 Jan 2020
1