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Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models

Understanding Failures in Out-of-Distribution Detection with Deep Generative Models

14 July 2021
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
    OODD
ArXivPDFHTML

Papers citing "Understanding Failures in Out-of-Distribution Detection with Deep Generative Models"

15 / 15 papers shown
Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
82
2
0
04 Mar 2025
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
30
0
0
11 Oct 2024
Novelty Detection in Reinforcement Learning with World Models
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer
Kenneth Eaton
Jonathan C. Balloch
Julia Kim
Mark O. Riedl
Robert Wright
Mark O. Riedl
21
1
0
12 Oct 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
37
0
0
26 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Elhabian
UQCV
13
5
0
15 Aug 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Christos Sakaridis
F. I. F. Richard Yu
ISeg
21
23
0
26 May 2023
On the Connection of Generative Models and Discriminative Models for
  Anomaly Detection
On the Connection of Generative Models and Discriminative Models for Anomaly Detection
Jingxuan Pang
Chunguang Li
17
0
0
16 Nov 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
28
122
0
26 Oct 2022
NeuralNEB -- Neural Networks can find Reaction Paths Fast
NeuralNEB -- Neural Networks can find Reaction Paths Fast
M. Schreiner
Arghya Bhowmik
T. Vegge
Peter Bjørn Jørgensen
Ole Winther
35
23
0
20 Jul 2022
Raising the Bar in Graph-level Anomaly Detection
Raising the Bar in Graph-level Anomaly Detection
Chen Qiu
Marius Kloft
Stephan Mandt
Maja R. Rudolph
27
60
0
27 May 2022
Model-agnostic out-of-distribution detection using combined statistical
  tests
Model-agnostic out-of-distribution detection using combined statistical tests
Federico Bergamin
Pierre-Alexandre Mattei
Jakob Drachmann Havtorn
Hugo Senetaire
Hugo Schmutz
Lars Maaløe
Søren Hauberg
J. Frellsen
OODD
10
18
0
02 Mar 2022
Out of Distribution Detection on ImageNet-O
Out of Distribution Detection on ImageNet-O
Anugya Srivastava
S. Jain
Mugdha Thigle
OOD
51
5
0
23 Jan 2022
Understanding Out-of-distribution: A Perspective of Data Dynamics
Understanding Out-of-distribution: A Perspective of Data Dynamics
Dyah Adila
Dongyeop Kang
30
12
0
29 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
173
875
0
21 Oct 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
227
2,545
0
25 Jan 2016
1