Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.09273
Cited By
Density of States Estimation for Out-of-Distribution Detection
16 June 2020
Warren Morningstar
Cusuh Ham
Andrew Gallagher
Balaji Lakshminarayanan
Alexander A. Alemi
Joshua V. Dillon
OODD
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Density of States Estimation for Out-of-Distribution Detection"
23 / 23 papers shown
Title
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
43
0
0
03 Nov 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
45
1
0
04 Jul 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng
Alexandre H. Thiery
Harold Soh
51
1
0
20 May 2024
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
Yunhao Ge
Jie Jessie Ren
Jiaping Zhao
Kaifeng Chen
Andrew Gallagher
Laurent Itti
Balaji Lakshminarayanan
VLM
ObjD
26
1
0
26 May 2023
Denoising diffusion models for out-of-distribution detection
M. Graham
W. H. Pinaya
Petru-Daniel Tudosiu
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
38
72
0
14 Nov 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
25
4
0
26 Sep 2022
OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee
C. Roy
Swalpa Kumar Roy
ViT
22
1
0
25 Apr 2022
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
24
18
0
02 Mar 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
27
6
0
26 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
Anas Awadalla
Tadayoshi Kohno
Shwetak N. Patel
OOD
30
29
0
26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler
Bertrand Charpentier
Simon Geisler
Daniel Zügner
Stephan Günnemann
UQCV
BDL
41
81
0
26 Oct 2021
Entropic Issues in Likelihood-Based OOD Detection
Anthony L. Caterini
G. Loaiza-Ganem
OODD
24
15
0
22 Sep 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection
John Mitros
Brian Mac Namee
21
2
0
15 Jul 2021
Test for non-negligible adverse shifts
Vathy M. Kamulete
15
3
0
07 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
27
19
0
24 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren
Stanislav Fort
J. Liu
Abhijit Guha Roy
Shreyas Padhy
Balaji Lakshminarayanan
UQCV
33
216
0
16 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar
Pia Hanfeld
Michael Hecht
Michael Bussmann
Stefan Gumhold
Nico Hoffmann
OODD
OOD
TPM
29
4
0
10 Jun 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Jinsung Yoon
Tomas Pfister
SSL
UQCV
27
754
0
08 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yun-Hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
18
104
0
08 Apr 2021
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
210
81
0
16 Feb 2021
The Hidden Uncertainty in a Neural Networks Activations
Janis Postels
Hermann Blum
Yannick Strümpler
Cesar Cadena
Roland Siegwart
Luc Van Gool
Federico Tombari
UQCV
32
22
0
05 Dec 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
24
32
0
09 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
1