Predictive Uncertainty Estimation via Prior Networks

28 February 2018

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

50 / 151 papers shown

Title
Distribution-based Emotion Recognition in Conversation Wen Wu C. Zhang P. Woodland 19 4 0 09 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
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 23 3 0 30 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 21 2 0 24 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 28 21 0 12 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du UQCV EDL 55 12 0 06 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 30 117 0 05 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation Min Seok Lee Seok Woo Yang S. W. Han 3DPC 22 21 0 02 Oct 2022
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning N. Prabhu N. Lehmann-Willenbrock Timo Gerkmann UQCV 11 6 0 30 Sep 2022
Transfer Learning with Pretrained Remote Sensing Transformers A. Fuller K. Millard J.R. Green 27 11 0 28 Sep 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Weiran Xu 35 8 0 14 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 30 3 0 12 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
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 23 20 0 21 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 30 7 0 05 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 44 39 0 04 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry M. Penrod Harrison Termotto Varshini Reddy Jiayu Yao Finale Doshi-Velez Weiwei Pan AAML OOD 35 1 0 02 Aug 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 22 18 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 21 30 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 23 43 0 12 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 24 4 0 11 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 21 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 23 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
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 23 2 0 05 Jun 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 16 6 0 30 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 175 35 0 20 May 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 37 0 0 19 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou EDL 20 217 0 25 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 487 0 13 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 14 7 0 10 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 11 57 0 05 Apr 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark J. F. Gales UQCV 14 11 0 15 Mar 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 21 36 0 11 Mar 2022
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors Wen Wu C. Zhang Xixin Wu P. Woodland 46 14 0 08 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 14 7 0 01 Mar 2022
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings Wen-Rang Zhang Xinxin Di Guodong Wei Shijia Geng Zhaoji Fu linda Qiao UQCV BDL 11 2 0 26 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 36 59 0 14 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 89 0 07 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 22 7 0 03 Feb 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 25 19 0 25 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 25 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 28 80 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 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 31 11 0 06 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee N. Ahuja A. Cherian UQCV VGen BDL 36 17 0 06 Oct 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 23 5 0 28 Sep 2021