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On out-of-distribution detection with Bayesian neural networks
v1v2 (latest)

On out-of-distribution detection with Bayesian neural networks

12 October 2021
Francesco DÁngelo
Christian Henning
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "On out-of-distribution detection with Bayesian neural networks"

4 / 4 papers shown
Title
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
Tianhao Zhang
Zhixiang Chen
Lyudmila Mihaylova
579
2
0
27 Oct 2024
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep
  Learning under Distribution Shift
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution ShiftNeural Information Processing Systems (NeurIPS), 2023
Florian Seligmann
P. Becker
Michael Volpp
Gerhard Neumann
UQCV
206
20
0
21 Jun 2023
An out-of-distribution discriminator based on Bayesian neural network
  epistemic uncertainty
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty
Ethan Ancell
Christopher Bennett
B. Debusschere
S. Agarwal
Park Hays
T. Xiao
BDLUQCVUDPER
84
1
0
18 Oct 2022
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PERUQLMUQCVUD
429
102
0
16 Feb 2021
1