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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016

Balaji Lakshminarayanan

Alexander Pritzel

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

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Title
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting J. Dabrowski Yifan Zhang Ashfaqur Rahman AI4TS 27 36 0 11 Feb 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos T. Bui BDL 104 24 0 10 Feb 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 69 65 0 08 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 59 37 0 08 Feb 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving Di Feng Yifan Cao Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer UQCV 3DPC 74 23 0 01 Feb 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control Esther Puyol-Antón B. Ruijsink Christian F. Baumgartner Matthew Sinclair E. Konukoglu Reza Razavi A. King 44 33 0 31 Jan 2020
Towards a Kernel based Uncertainty Decomposition Framework for Data and Models Rishabh Singh José C. Príncipe UQCV UD 49 8 0 30 Jan 2020
The Case for Bayesian Deep Learning A. Wilson UQCV BDL OOD 132 114 0 29 Jan 2020
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation N. Brosse C. Riquelme Alice Martin Sylvain Gelly Eric Moulines BDL OOD UQCV 97 34 0 22 Jan 2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback Baicen Xiao Qifan Lu Bhaskar Ramasubramanian Andrew Clark L. Bushnell Radha Poovendran 73 25 0 19 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 98 59 0 14 Jan 2020
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach Serena Booth Ankit J. Shah Yilun Zhou J. Shah BDL 35 1 0 09 Jan 2020
Aleatoric and Epistemic Uncertainty with Random Forests M. Shaker Eyke Hüllermeier BDL UD PER 73 73 0 03 Jan 2020
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 46 25 0 31 Dec 2019
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao Qiyang Zhang Xiaolei Yu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen AI4CE 72 367 0 28 Dec 2019
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 149 52 0 24 Dec 2019
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks Angelos Filos Sebastian Farquhar Aidan Gomez Tim G. J. Rudner Zachary Kenton Lewis Smith Milad Alizadeh A. D. Kroon Y. Gal BDL AAML OOD UQCV 89 109 0 22 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles Sina Mohseni Mandar Pitale Vasu Singh Zhangyang Wang 84 68 0 20 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles Piotr Milo's Lukasz Kuciñski K. Czechowski Piotr Kozakowski Maciek Klimek OffRL 80 8 0 19 Dec 2019
Bayesian Linear Regression on Deep Representations J. Moberg Lennart Svensson Juliano Pinto H. Wymeersch BDL UQCV 18 2 0 14 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 103 63 0 11 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 118 59 0 11 Dec 2019
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging J. Zech Jessica Zosa Forde Michael L. Littman 36 5 0 08 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 119 551 0 05 Dec 2019
Learning Human Objectives by Evaluating Hypothetical Behavior S. Reddy Anca Dragan Sergey Levine Shane Legg Jan Leike 87 76 0 05 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 183 1,313 0 05 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 157 631 0 05 Dec 2019
RoNGBa: A Robustly Optimized Natural Gradient Boosting Training Approach with Leaf Number Clipping Liliang Ren Gen Sun Jiaman Wu 19 5 0 05 Dec 2019
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 139 52 0 04 Dec 2019
Regression with Uncertainty Quantification in Large Scale Complex Data Nicholas Wilkins Michael Johnson Ifeoma Nwogu UQCV BDL 28 0 0 04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan O. Arik Zizhao Zhang Tomas Pfister FedML 71 39 0 03 Dec 2019
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks V. Puzyrev A. Swidinsky 13 58 0 02 Dec 2019
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network Shuhan Zhang Wenlong Lyu Fan Yang Changhao Yan Dian Zhou Xuan Zeng BDL 43 55 0 01 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 140 275 0 29 Nov 2019
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers Colin Paterson R. Calinescu Chiara Picardi 61 4 0 28 Nov 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 75 9 0 26 Nov 2019
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift A. Mozafari H. Gomes Christian Gagné 28 0 0 25 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Zhijie Deng Yucen Luo Jun Zhu Bo Zhang UQCV BDL 43 2 0 22 Nov 2019
Active Learning for Deep Detection Neural Networks H. H. Aghdam Abel Gonzalez-Garcia Joost van de Weijer Antonio M. López VLM ObjD 95 140 0 20 Nov 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 93 59 0 20 Nov 2019
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks Héctor J. Hortúa Riccardo Volpi D. Marinelli Luigi Malagò BDL 71 23 0 19 Nov 2019
Bias-Aware Heapified Policy for Active Learning Wen-Yen Chang Wen-Huan Chiang Shao-Hao Lu Tingfan Wu Min Sun OffRL 16 0 0 18 Nov 2019
Defending Against Model Stealing Attacks with Adaptive Misinformation Sanjay Kariyappa Moinuddin K. Qureshi MLAU AAML 64 109 0 16 Nov 2019
Uncertainty on Asynchronous Time Event Prediction Marin Bilos Bertrand Charpentier Stephan Günnemann AI4TS 70 44 0 13 Nov 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 118 185 0 13 Nov 2019
Automatic Online Quality Control of Synthetic CTs Louis D. van Harten J. Wolterink Joost Verhoeff Ivana Išgum 3DV MedIm 13 8 0 12 Nov 2019
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 91 34 0 12 Nov 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning J. Liu John Paisley M. Kioumourtzoglou B. Coull UQCV UD PER 99 85 0 11 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 53 6 0 08 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 124 675 0 06 Nov 2019