ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.03328
  4. Cited By
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with
  Flow-Based Generative Models

Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models

9 February 2020
Yufeng Zhang
Jia Pan
Wanwei Liu
Zhenbang Chen
J. Wang
Zhiming Liu
KenLi Li
H. Wei
    OODD
    DRL
ArXivPDFHTML

Papers citing "Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models"

5 / 5 papers shown
Title
Introducing Ínside' Out of Distribution
Introducing Ínside' Out of Distribution
Teddy Lazebnik
31
1
0
05 Jul 2024
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
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
39
72
0
09 Feb 2021
Are generative deep models for novelty detection truly better?
Are generative deep models for novelty detection truly better?
V. Škvára
Tomás Pevný
Václav Smídl
31
38
0
13 Jul 2018
1