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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
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 72 11 0 16 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 130 85 0 15 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 128 75 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 112 103 0 15 Jun 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 33 7 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 76 364 0 13 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 68 14 0 13 Jun 2020
Reinforced Data Sampling for Model Diversification Hoang D. Nguyen Xuan-Son Vu Quoc-Tuan Truong Duc-Trong Le 10 5 0 12 Jun 2020
A benchmark study on reliable molecular supervised learning via Bayesian learning Doyeong Hwang Grace Lee Hanseok Jo Seyoul Yoon Seongok Ryu 84 9 0 12 Jun 2020
Weakly-supervised Temporal Action Localization by Uncertainty Modeling Pilhyeon Lee Jinglu Wang Yan Lu H. Byun EDL 62 11 0 12 Jun 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness Randy Ardywibowo Shahin Boluki Xinyu Gong Zhangyang Wang Xiaoning Qian UQCV 72 18 0 11 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 32 0 0 11 Jun 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty 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 51 115 0 10 Jun 2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction Eli Simhayev Gilad Katz Lior Rokach OOD 51 12 0 09 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 101 109 0 08 Jun 2020
A Variational View on Bootstrap Ensembles as Bayesian Inference Dimitrios Milios Pietro Michiardi Maurizio Filippone 37 1 0 08 Jun 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 141 75 0 07 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas Guibas OOD 68 158 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 58 24 0 07 Jun 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End Abdelrahman Eldesokey Michael Felsberg Karl Holmquist M. Persson BDL UQCV 73 113 0 05 Jun 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 91 8 0 04 Jun 2020
Bayesian Neural Networks Tom Charnock Laurence Perreault Levasseur F. Lanusse UQCV BDL 29 3 0 02 Jun 2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty Valentin Peretroukhin Matthew Giamou David M. Rosen W. N. Greene Nicholas Roy Jonathan Kelly 94 44 0 01 Jun 2020
One Versus all for deep Neural Network Incertitude (OVNNI) quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV BDL 61 22 0 01 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput M. Raval 3DV 46 13 0 31 May 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 112 53 0 30 May 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation Raghav Mehta Angelos Filos Y. Gal Tal Arbel UQCV 76 16 0 28 May 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 103 775 0 27 May 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Daubener Lea Schonherr Asja Fischer D. Kolossa AAML 71 18 0 24 May 2020
Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder Georg Seelig 64 60 0 22 May 2020
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Hakmin Lee Hong Joo Lee S. T. Kim Yong Man Ro FedML OOD AAML 53 10 0 21 May 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 83 7 0 21 May 2020
Unsupervised Quality Estimation for Neural Machine Translation M. Fomicheva Shuo Sun Lisa Yankovskaya Frédéric Blain Francisco Guzmán Mark Fishel Nikolaos Aletras Vishrav Chaudhary Lucia Specia UQLM 91 209 0 21 May 2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction Lior Hirschfeld Kyle Swanson Kevin Kaichuang Yang Regina Barzilay Connor W. Coley 113 195 0 20 May 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 64 10 0 19 May 2020
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? Nadezhda Chirkova E. Lobacheva Dmitry Vetrov OOD MoE 51 9 0 14 May 2020
VirAAL: Virtual Adversarial Active Learning For NLU Grégory Senay Badr Youbi Idrissi Marine Haziza AAML 14 1 0 14 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 105 215 0 14 May 2020
Estimating predictive uncertainty for rumour verification models E. Kochkina Maria Liakata 45 18 0 14 May 2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation Philipp Oberdiek Matthias Rottmann G. Fink 73 30 0 14 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 112 266 0 13 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 108 412 0 12 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 143 65 0 11 May 2020
Prior choice affects ability of Bayesian neural networks to identify unknowns D. Silvestro Tobias Andermann UQCV BDL 64 23 0 11 May 2020
Ensembled sparse-input hierarchical networks for high-dimensional datasets Jean Feng N. Simon 26 4 0 11 May 2020
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction Tian Guo N. Jamet Valentin Betrix Louis-Alexandre Piquet E. Hauptmann AIFin 42 31 0 05 May 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 83 22 0 05 May 2020
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs Zebang Zhang Kui Zhao Kai Huang Quanhui Jia Yanming Fang Quan Yu 42 1 0 02 May 2020
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning Austin R. Clyde Thomas Brettin A. Partin Maulik Shaulik H. Yoo Yvonne A. Evrard Yitan Zhu Fangfang Xia Rick L. Stevens 114 7 0 30 Apr 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms J. Caldeira Brian D. Nord BDL UQCV UD 91 81 0 22 Apr 2020