Papers citing 'Predictive Uncertainty Estimation via Prior Networks'

Title
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 215 24 0 20 Jun 2020
Regression Prior Networks A. Malinin Sergey Chervontsev Ivan Provilkov Mark Gales BDL UQCV 226 39 0 20 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 759 517 0 17 Jun 2020
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes Manuel Haussmann S. Gerwinn Andreas Look Barbara Rakitsch M. Kandemir 282 18 0 17 Jun 2020
Learning Visual Commonsense for Robust Scene Graph Generation Alireza Zareian Zhecan Wang Haoxuan You Shih-Fu Chang 366 312 0 17 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 346 210 0 16 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 183 11 0 16 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 188 16 0 13 Jun 2020
Weakly-supervised Temporal Action Localization by Uncertainty Modeling Pilhyeon Lee Jinglu Wang Yan Lu H. Byun EDL 153 11 0 12 Jun 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric UncertaintyNeural Information Processing Systems (NeurIPS), 2020 Miguel A. B. Monteiro Loic Le Folgoc Daniel Coelho De Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker UQCV BDL 123 128 0 10 Jun 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 223 84 0 07 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 180 27 0 07 Jun 2020
One Versus all for deep Neural Network Incertitude (OVNNI) quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV BDL 150 22 0 01 Jun 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Daubener Lea Schonherr Asja Fischer D. Kolossa AAML 133 18 0 24 May 2020
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis P. Poduval H. Loya A. Sethi BDL UQCV 127 2 0 24 May 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 327 229 0 14 May 2020
Estimating predictive uncertainty for rumour verification models E. Kochkina Maria Liakata 117 18 0 14 May 2020
Universal Source-Free Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020 Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 215 379 0 09 Apr 2020
Calibrating Structured Output Predictors for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Abhyuday N. Jagannatha Hong-ye Yu 330 30 0 09 Apr 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Shouqing Yang Xi Wu Yingyu Liang S. Jha OODD 484 98 0 21 Mar 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context DiscoveryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Zepeng Huo Arash Pakbin Xiaohan Chen N. Hurley Ye Yuan Xiaoning Qian Zinan Lin Shuai Huang B. Mortazavi HAI 138 14 0 03 Mar 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2020 Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 418 39 0 02 Mar 2020
A general framework for ensemble distribution distillationInternational Workshop on Machine Learning for Signal Processing (MLSP), 2020 Jakob Lindqvist Amanda Olmin Fredrik Lindsten Lennart Svensson FedML UQCV BDL 178 25 0 26 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution DataComputer Vision and Pattern Recognition (CVPR), 2020 Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 392 652 0 26 Feb 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU NetworksInternational Conference on Machine Learning (ICML), 2020 Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 323 322 0 24 Feb 2020
Being Bayesian about Categorical ProbabilityInternational Conference on Machine Learning (ICML), 2020 Taejong Joo U. Chung Minji Seo UQCV BDL 263 67 0 19 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep LearningInternational Conference on Learning Representations (ICLR), 2020 Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 463 342 0 15 Feb 2020
Learnable Bernoulli Dropout for Bayesian Deep LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 157 36 0 12 Feb 2020
Learning with Out-of-Distribution Data for Audio ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Turab Iqbal Yin Cao Qiuqiang Kong Mark D. Plumbley Wenwu Wang OODD 85 19 0 11 Feb 2020
Uncertainty based Class Activation Maps for Visual Question Answering Badri N. Patro Mayank Lunayach Vinay P. Namboodiri FAtt UQCV 100 1 0 23 Jan 2020
Deep Bayesian Network for Visual Question GenerationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Badri N. Patro V. Kurmi Sandeep Kumar Vinay P. Namboodiri BDL 142 18 0 23 Jan 2020
Hydra: Preserving Ensemble Diversity for Model Distillation Linh-Tam Tran Bastiaan S. Veeling Kevin Roth J. Swiatkowski Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Sebastian Nowozin Rodolphe Jenatton 199 63 0 14 Jan 2020
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability José Mena O. Pujol Jordi Vitrià 128 8 0 29 Dec 2019
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices Chandramouli Shama Sastry Sageev Oore OODD 190 55 0 28 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 337 66 0 11 Dec 2019
Uncertainty on Asynchronous Time Event PredictionNeural Information Processing Systems (NeurIPS), 2019 Marin Bilos Bertrand Charpentier Stephan Günnemann AI4TS 228 45 0 13 Nov 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble LearningNeural Information Processing Systems (NeurIPS), 2019 J. Liu John Paisley M. Kioumourtzoglou B. Coull UQCV UD PER 213 92 0 11 Nov 2019
Learning an Uncertainty-Aware Object Detector for Autonomous DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 Gregory P. Meyer Niranjan Thakurdesai UQCV 233 69 0 24 Oct 2019
Accurate Layerwise Interpretable Competence EstimationNeural Information Processing Systems (NeurIPS), 2019 Vickram Rajendran Will LeVine 155 10 0 24 Oct 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and MethodsMachine-mediated learning (ML), 2019 Eyke Hüllermeier Willem Waegeman PER UD 699 1,726 0 21 Oct 2019
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks Xujiang Zhao Yuzhe Ou Lance M. Kaplan Feng Chen Jin-Hee Cho EDL BDL UQCV 107 17 0 15 Oct 2019
Deep Evidential RegressionNeural Information Processing Systems (NeurIPS), 2019 Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 290 536 0 07 Oct 2019
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias Asma Ghandeharioun B. Eoff Brendan Jou Rosalind W. Picard UD UQCV 127 18 0 20 Sep 2019
Generating Data using Monte Carlo DropoutInternational Conference on Computational Photography (ICCP), 2019 Kristian Miok Dong Nguyen Doan D. Zaharie Marko Robnik-Šikonja SyDa 119 17 0 12 Sep 2019
Out-of-domain Detection for Natural Language Understanding in Dialog SystemsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2019 Yinhe Zheng Guanyi Chen Shiyu Huang 244 135 0 09 Sep 2019
Density estimation in representation space to predict model uncertaintyCommunications in Computer and Information Science (CCIS), 2019 Tiago Ramalho M. Corbalan UQCV BDL 136 44 0 20 Aug 2019
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic ScenesIEEE International Conference on Computer Vision (ICCV), 2019 Fabian Brickwedde Steffen Abraham Rudolf Mester MDE 206 53 0 17 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation MapsIEEE International Conference on Computer Vision (ICCV), 2019 Badri N. Patro Mayank Lunayach Shivansh Patel Vinay P. Namboodiri FAtt UQCV 275 77 0 17 Aug 2019
Entropic Out-of-Distribution DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2019 David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 509 38 0 15 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 131 18 0 07 Aug 2019