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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
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 52 2 0 15 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 126 132 0 15 Jul 2021
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR Nico Lang Konrad Schindler Jan Dirk Wegner 90 14 0 15 Jul 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks Yufeng Xia Jun Zhang Zhiqiang Gong Tingsong Jiang Wen Yao UQCV 58 1 0 15 Jul 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 74 33 0 15 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 279 422 0 14 Jul 2021
Artificial Intelligence in PET: an Industry Perspective Arkadiusz Sitek Sangtae Ahn E. Asma A. Chandler Alvin Ihsani S. Prevrhal Arman Rahmim Babak Saboury K. Thielemans 32 5 0 14 Jul 2021
What classifiers know what they don't? Mohamed Ishmael Belghazi David Lopez-Paz 86 7 0 13 Jul 2021
Learning a Discriminant Latent Space with Neural Discriminant Analysis Mai Lan Ha Gianni Franchi Emanuel Aldea V. Blanz 100 1 0 13 Jul 2021
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks Jonas Busk Peter Bjørn Jørgensen Arghya Bhowmik Mikkel N. Schmidt Ole Winther Tejs Vegge 82 52 0 13 Jul 2021
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 79 31 0 13 Jul 2021
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers Christopher Schröder A. Niekler Martin Potthast 86 81 0 12 Jul 2021
Prb-GAN: A Probabilistic Framework for GAN Modelling Blessen George V. Kurmi Vinay P. Namboodiri GAN 58 0 0 12 Jul 2021
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving Ferhat Ozgur Catak T. Yue Shaukat Ali 76 22 0 11 Jul 2021
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation C. Perone Roberto Silveira Thomas S. Paula ODL UQCV 59 2 0 09 Jul 2021
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors Tobias Riedlinger Matthias Rottmann Marius Schubert Hanno Gottschalk BDL UQCV 40 13 0 09 Jul 2021
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression Vincent Mai Waleed D. Khamies Liam Paull NoLa BDL 82 3 0 09 Jul 2021
Multi-headed Neural Ensemble Search Ashwin Raaghav Narayanan Arber Zela Tonmoy Saikia Thomas Brox Frank Hutter UQCV 46 4 0 09 Jul 2021
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty Moritz Knolle Alexander Ziller Dmitrii Usynin R. Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis UQCV 61 2 0 09 Jul 2021
Exploring Dropout Discriminator for Domain Adaptation V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri OOD 51 6 0 09 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation Ian D Kivlichan Zi Lin J. Liu Lucy Vasserman 58 20 0 09 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 54 4 0 09 Jul 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 88 41 0 08 Jul 2021
Predicting Disease Progress with Imprecise Lab Test Results Mei Wang Jianwen Su Zhi-kai Lin 79 0 0 08 Jul 2021
Uncertainty-aware Human Motion Prediction Pengxiang Ding Jianqin Yin 75 3 0 08 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 242 1,178 0 07 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 122 123 0 07 Jul 2021
Logit-based Uncertainty Measure in Classification Huiyue Wu Diego Klabjan EDL BDL UQCV 42 6 0 06 Jul 2021
Evaluating subgroup disparity using epistemic uncertainty in mammography Charles Lu A. Lemay K. Hoebel Jayashree Kalpathy-Cramer UQCV UD 80 12 0 06 Jul 2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis Christoph Berger Magdalini Paschali Ben Glocker Konstantinos Kamnitsas OOD 111 45 0 06 Jul 2021
Intrinsic uncertainties and where to find them Francesco Farina Lawrence Phillips Nicola J. Richmond UQCV UD 38 1 0 06 Jul 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 68 28 0 05 Jul 2021
A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification G. K. Nilsen A. Munthe-Kaas H. Skaug M. Brun 41 0 0 04 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 78 20 0 03 Jul 2021
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints Indu Joshi Ayush Utkarsh R. Kothari V. Kurmi A. Dantcheva Sumantra Dutta Roy P. Kalra 47 11 0 02 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 97 61 0 01 Jul 2021
Knowledge Distillation for Quality Estimation Amit Gajbhiye M. Fomicheva Fernando Alva-Manchego Frédéric Blain A. Obamuyide Nikolaos Aletras Lucia Specia 74 11 0 01 Jul 2021
Valid prediction intervals for regression problems Nicolas Dewolf B. De Baets Willem Waegeman 171 46 0 01 Jul 2021
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems Neeraj Varshney Swaroop Mishra Chitta Baral 100 0 0 01 Jul 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification Benedikt T. Boenninghoff R. M. Nickel D. Kolossa OODD 91 12 0 30 Jun 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 46 29 0 30 Jun 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 116 64 0 29 Jun 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 85 49 0 29 Jun 2021
Learning to Map for Active Semantic Goal Navigation G. Georgakis Bernadette Bucher Karl Schmeckpeper Siddharth Singh Kostas Daniilidis 84 78 0 29 Jun 2021
An Uncertainty Estimation Framework for Probabilistic Object Detection Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 50 2 0 28 Jun 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 254 316 0 28 Jun 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu OOD 125 53 0 28 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 46 0 0 25 Jun 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 111 115 0 25 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma Ziyun Huang Jiayi Xian Mingchen Gao Jinhui Xu UQCV 63 14 0 25 Jun 2021