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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
Uncertainty estimation for classification and risk prediction on medical tabular data L. Meijerink Giovanni Cina Michele Tonutti 19 1 0 13 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Ali Gholipour OOD 64 9 0 12 Apr 2020
Scalable Active Learning for Object Detection Elmar Haussmann Michele Fenzi Kashyap Chitta J. Ivanecký Hanson Xu D. Roy Akshita Mittel Nicolas Koumchatzky C. Farabet J. Álvarez 59 110 0 09 Apr 2020
Calibrating Structured Output Predictors for Natural Language Processing Abhyuday N. Jagannatha Hong-ye Yu 103 28 0 09 Apr 2020
Probabilistic Spatial Transformer Networks Pola Schwobel Frederik Warburg Martin Jørgensen Kristoffer Hougaard Madsen Søren Hauberg 74 8 0 07 Apr 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood Abhinav Kumar Tim K. Marks Wenxuan Mou Ye Wang Michael J. Jones A. Cherian T. Koike-Akino Xiaoming Liu Chen Feng CVBM 3DV 76 152 0 06 Apr 2020
Deep transformation models: Tackling complex regression problems with neural network based transformation models Beate Sick Torsten Hothorn Oliver Durr MedIm BDL OOD UQCV 55 29 0 01 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks Anne S. Wannenwetsch Stefan Roth 58 14 0 31 Mar 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao 94 30 0 31 Mar 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition Chih-Hui Ho Bo Liu Tz-Ying Wu Nuno Vasconcelos 78 8 0 28 Mar 2020
GAN-based Priors for Quantifying Uncertainty Dhruv V. Patel Assad A. Oberai BDL UQCV 53 7 0 27 Mar 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records Yikuan Li Shishir Rao A. Hassaine R. Ramakrishnan Yajie Zhu D. Canoy G. Salimi-Khorshidi Thomas Lukasiewicz K. Rahimi BDL UQCV 76 36 0 23 Mar 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 86 6 0 22 Mar 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 231 87 0 21 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 61 7 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 106 227 0 16 Mar 2020
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent UQCV NoLa 62 0 0 15 Mar 2020
Semi-Local 3D Lane Detection and Uncertainty Estimation Netalee Efrat Max Bluvstein Noa Garnett Dan Levi Shaul Oron Bat El Shlomo UQCV 55 15 0 11 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology Stefan Studer T. Bui C. Drescher A. Hanuschkin Ludwig Winkler S. Peters Klaus-Robert Muller 133 180 0 11 Mar 2020
Estimation of Accurate and Calibrated Uncertainties in Deterministic models E. Camporeale A. Carè 13 2 0 11 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 414 0 10 Mar 2020
Diversity inducing Information Bottleneck in Model Ensembles Samarth Sinha Homanga Bharadhwaj Anirudh Goyal Hugo Larochelle Animesh Garg Florian Shkurti BDL UQCV 63 40 0 10 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 427 54 0 09 Mar 2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling Kirill Fedyanin Evgenii Tsymbalov Maxim Panov UQCV 41 7 0 06 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 189 195 0 06 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 110 55 0 04 Mar 2020
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC Ruqi Zhang A. Feder Cooper Christopher De Sa 88 18 0 29 Feb 2020
Quantile Regularization: Towards Implicit Calibration of Regression Models Saiteja Utpala Piyush Rai UQCV 53 8 0 28 Feb 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 102 31 0 26 Feb 2020
A general framework for ensemble distribution distillation Jakob Lindqvist Amanda Olmin Fredrik Lindsten Lennart Svensson FedML UQCV BDL 75 19 0 26 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 145 579 0 26 Feb 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 90 290 0 24 Feb 2020
On the Role of Dataset Quality and Heterogeneity in Model Confidence Yuan Zhao Jiasi Chen Samet Oymak 53 14 0 23 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 109 85 0 21 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 127 102 0 21 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 172 657 0 20 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 97 61 0 19 Feb 2020
Uncertainty Estimation in Autoregressive Structured Prediction A. Malinin Mark Gales UQLM 72 9 0 18 Feb 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers S. Yu Yuxin Chen Hussain Zaidi 73 35 0 17 Feb 2020
$π$ VAE: a stochastic process prior for Bayesian deep learning with MCMC Swapnil Mishra Seth Flaxman Tresnia Berah Harrison Zhu Mikko S. Pakkanen Samir Bhatt BDL 31 3 0 17 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 218 494 0 17 Feb 2020
Active Bayesian Assessment for Black-Box Classifiers Disi Ji Robert L Logan IV Padhraic Smyth M. Steyvers UQCV 41 17 0 16 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 108 320 0 15 Feb 2020
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities David Rügamer Chris Kolb Nadja Klein 79 23 0 13 Feb 2020
Learning to Predict Error for MRI Reconstruction Shi Hu Nicola Pezzotti Max Welling UQCV 59 14 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 117 122 0 13 Feb 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 177 17 0 12 Feb 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 63 34 0 12 Feb 2020
Robustness analytics to data heterogeneity in edge computing Jia Qian Lars Kai Hansen Xenofon Fafoutis Prayag Tiwari Hari Mohan Pandey FedML 58 5 0 12 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks Ginevra Carbone Matthew Wicker Luca Laurenti A. Patané Luca Bortolussi G. Sanguinetti AAML 104 79 0 11 Feb 2020