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Are Bayesian neural networks intrinsically good at out-of-distribution
  detection?

Are Bayesian neural networks intrinsically good at out-of-distribution detection?

26 July 2021
Christian Henning
Francesco DÁngelo
Benjamin Grewe
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Are Bayesian neural networks intrinsically good at out-of-distribution detection?"

6 / 6 papers shown
Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
105
2
0
03 Jan 2025
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
131
0
0
27 Oct 2024
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OOD
AI4CE
33
17
0
29 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
26
0
0
27 Jun 2022
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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