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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
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany Cornelius Fritz Emilio Dorigatti David Rügamer 55 20 0 03 Jan 2021
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models Alina Roitberg Monica Haurilet Manuel Martínez Rainer Stiefelhagen UQCV 48 6 0 02 Jan 2021
Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA Sami Khairy Prasanna Balaprakash L. Cai H. Vincent Poor 37 6 0 02 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 188 117 0 02 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 84 74 0 01 Jan 2021
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study Matthew Ng F. Guo L. Biswas S. Petersen Stefan K. Piechnik S. Neubauer G. Wright UQCV 79 34 0 31 Dec 2020
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms Yilun Zhou Adithya Renduchintala Xian Li Sida Wang Yashar Mehdad Asish Ghoshal FedML 24 0 0 29 Dec 2020
Twin Neural Network Regression S. J. Wetzel Kevin Ryczko R. Melko Isaac Tamblyn UQCV 79 12 0 29 Dec 2020
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 427 40 0 29 Dec 2020
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification Michael Weiss Paolo Tonella UQCV 89 21 0 29 Dec 2020
Multidimensional Uncertainty-Aware Evidential Neural Networks Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 124 23 0 26 Dec 2020
Detecting Road Obstacles by Erasing Them Krzysztof Lis S. Honari Pascal Fua Mathieu Salzmann UQCV 169 44 0 25 Dec 2020
Detecting Hateful Memes Using a Multimodal Deep Ensemble Vlad Sandulescu VLM 74 44 0 24 Dec 2020
Probabilistic electric load forecasting through Bayesian Mixture Density Networks A. Brusaferri Matteo Matteucci S. Spinelli Andrea Vitali 60 38 0 23 Dec 2020
Wasserstein Dropout Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefanie Wrobel BDL OOD UQCV 44 1 0 23 Dec 2020
On Calibration of Scene-Text Recognition Models Ron Slossberg Oron Anschel Amir Markovitz Ron Litman Aviad Aberdam Shahar Tsiper Shai Mazor Jon Wu R. Manmatha 63 13 0 23 Dec 2020
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture Cristina Garcia-Cardona M. G. Fernández-Godino Daniel O’Malley T. Bhattacharya AI4CE 36 3 0 23 Dec 2020
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection Hamzeh Asgharnezhad Afshar Shamsi Jokandan R. Alizadehsani Abbas Khosravi S. Nahavandi Z. Sani D. Srinivasan UQCV 75 72 0 22 Dec 2020
Post-hoc Uncertainty Calibration for Domain Drift Scenarios Christian Tomani Sebastian Gruber Muhammed Ebrar Erdem Daniel Cremers Florian Buettner UQCV 194 67 0 20 Dec 2020
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration Christian Tomani Florian Buettner UQCV AAML OOD 73 39 0 20 Dec 2020
Physics guided machine learning using simplified theories Suraj Pawar Omer San Burak Aksoylu Adil Rasheed T. Kvamsdal PINN AI4CE 156 107 0 18 Dec 2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 65 23 0 18 Dec 2020
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 77 34 0 16 Dec 2020
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 75 12 0 15 Dec 2020
Masksembles for Uncertainty Estimation Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 78 83 0 15 Dec 2020
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation Tianyi Wei Dongdong Chen Wenbo Zhou Jing Liao Hanqing Zhao Weiming Zhang Nenghai Yu 61 29 0 15 Dec 2020
Hypothesis Disparity Regularized Mutual Information Maximization Qicheng Lao Xiang Jiang Mohammad Havaei 69 24 0 15 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 142 50 0 14 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 256 169 0 14 Dec 2020
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search Li-Cheng Lan Meng-Yu Tsai Ti-Rong Wu I-Chen Wu Cho-Jui Hsieh 39 6 0 14 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 319 1,452 0 14 Dec 2020
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek S. Izadi Ghassan Hamarneh 79 27 0 14 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 154 50 0 11 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 83 11 0 11 Dec 2020
Semi-supervised novelty detection using ensembles with regularized disagreement A. Tifrea E. Stavarache Fanny Yang UQCV 87 6 0 10 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 141 33 0 09 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 136 154 0 09 Dec 2020
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features I. Ndiour Nilesh A. Ahuja Omesh Tickoo OODD 55 26 0 08 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 187 22 0 05 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 94 27 0 04 Dec 2020
Critical Evaluation of Deep Neural Networks for Wrist Fracture Detection A. M. Raisuddin Elias Vaattovaara M. Nevalainen Marko Nikki Elina Järvenpää ... P. Pinola Tuula Palsio Arttu Niemensivu O. Tervonen A. Tiulpin 28 0 0 04 Dec 2020
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris Kitani Y. Alon Elad Eban 100 49 0 03 Dec 2020
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows Jize Zhang B. Kailkhura T. Y. Han OOD 48 14 0 02 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 143 67 0 30 Nov 2020
Bayesian Graph Neural Networks for Molecular Property Prediction George Lamb Brooks Paige 75 12 0 25 Nov 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 96 18 0 25 Nov 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 77 61 0 25 Nov 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 99 37 0 25 Nov 2020
StackMix: A complementary Mix algorithm John Chen Samarth Sinha Anastasios Kyrillidis 41 3 0 25 Nov 2020
Ensemble Distillation Approaches for Grammatical Error Correction Yassir Fathullah Mark Gales A. Malinin 68 11 0 24 Nov 2020