Bayesian OOD detection with aleatoric uncertainty and outlier exposure

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Bayesian OOD detection with aleatoric uncertainty and outlier exposure

24 February 2021

Laurence Aitchison

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Papers citing "Bayesian OOD detection with aleatoric uncertainty and outlier exposure"

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Title
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding Jinlong Li Cristiano Saltori Fabio Poiesi N. Sebe 494 2 0 20 Mar 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 167 0 0 24 Feb 2025
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 319 0 0 27 Oct 2024
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 63 4 0 11 Aug 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 63 4 0 01 Jul 2023
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 105 23 0 14 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 88 18 0 29 Jun 2022
Robustness to corruption in pre-trained Bayesian neural networks Xi Wang Laurence Aitchison OOD UQCV 54 5 0 24 Jun 2022
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 75 16 0 18 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior effect Seth Nabarro Stoil Ganev Adrià Garriga-Alonso Vincent Fortuin Mark van der Wilk Laurence Aitchison BDL 83 41 0 10 Jun 2021