Predictive Uncertainty Estimation via Prior Networks

28 February 2018

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

50 / 202 papers shown

Title
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 194 35 0 20 May 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 49 0 0 19 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 268 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 26 48 0 01 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 37 219 0 25 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 492 0 13 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 22 8 0 10 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 19 57 0 05 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 40 59 0 28 Mar 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark Gales UQCV 22 11 0 15 Mar 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs Eyke Hüllermeier Willem Waegeman EDL UQCV UD 28 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 48 14 0 08 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 24 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 21 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 44 60 0 14 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 27 90 0 07 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 35 7 0 03 Feb 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 41 86 0 01 Dec 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 36 19 0 25 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 152 0 18 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 30 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 46 81 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 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 39 11 0 06 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee Narendra Ahuja A. Cherian UQCV VGen BDL 47 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
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 38 15 0 28 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 43 16 0 20 Sep 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance Carel van Niekerk A. Malinin Christian Geishauser Michael Heck Hsien-chin Lin Nurul Lubis Shutong Feng Milica Gavsić 26 9 0 09 Sep 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 39 11 0 23 Aug 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection K. Deepshikha Sai Harsha Yelleni P. K. Srijith C.Krishna Mohan BDL UQCV 29 87 0 08 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 38 22 0 02 Aug 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 21 135 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 66 1,112 0 07 Jul 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 23 15 0 18 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 51 358 0 15 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 33 22 0 08 Jun 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 28 34 0 10 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 29 39 0 09 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 39 237 0 05 May 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals Yuandu Lai Yucheng Shi Yahong Han Yunfeng Shao Meiyu Qi Bingshuai Li UQCV 41 15 0 27 Apr 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 37 21 0 13 Apr 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 34 19 0 28 Mar 2021
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation H. Kumar Nikhil Chawla Saibal Mukhopadhyay 11 8 0 21 Mar 2021
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss Jakob Weissteiner Hanna Wutte Sven Seuken Josef Teichmann BDL 39 19 0 26 Feb 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 25 37 0 25 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 34 146 0 23 Feb 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 212 81 0 16 Feb 2021