Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts

16 June 2020

Stephan Günnemann

Papers citing "Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts"

31 / 31 papers shown

Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 72 0 0 30 Jan 2025
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 32 3 0 06 Nov 2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties A. Hoarau Vincent Lemaire UQCV UD PER 31 0 0 12 Sep 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 57 0 0 02 Jul 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 70 1 0 17 Jun 2024
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 42 2 0 03 Jul 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 35 10 0 29 May 2023
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 13 31 0 14 Dec 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 21 26 0 16 Nov 2022
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS Rishabh Singh José C. Príncipe UQCV 28 3 0 03 Nov 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 30 21 0 12 Oct 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 34 64 0 07 Sep 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 23 0 0 27 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective Gleb Bazhenov Sergei Ivanov Maxim Panov Alexey Zaytsev Evgeny Burnaev UQCV 25 9 0 21 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning Zhen Guo Zelin Wan Qisheng Zhang Xujiang Zhao F. Chen Jin-Hee Cho Qi Zhang Lance M. Kaplan Dong-Ho Jeong A. Jøsang UQCV EDL 17 10 0 12 Jun 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou EDL 26 217 0 25 Apr 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 24 36 0 11 Mar 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 36 80 0 26 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 22 68 0 05 Sep 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 13 135 0 21 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 16 8 0 22 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 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 202 81 0 16 Feb 2021
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 32 31 0 09 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015