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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"

24 / 3,224 papers shown

Title
Variance Networks: When Expectation Does Not Meet Your Expectations Kirill Neklyudov Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov UQCV 94 23 0 10 Mar 2018
Active model learning and diverse action sampling for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 89 81 0 02 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 205 923 0 28 Feb 2018
Diversity regularization in deep ensembles Changjian Shui A. Mozafari Jonathan Marek Ihsen Hedhli Christian Gagné UQCV 63 13 0 22 Feb 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach Tim Pearce Mohamed H. Zaki Alexandra Brintrup A. Neely UQCV 272 283 0 20 Feb 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg Özgün Çiçek Silvio Galesso Aaron Klein Osama Makansi Frank Hutter Thomas Brox UQCV 95 223 0 20 Feb 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks Jeffrey Chan Valerio Perrone J. Spence Paul A. Jenkins Sara Mathieson Yun S. Song 333 109 0 16 Feb 2018
Uncertainty Estimation via Stochastic Batch Normalization Andrei Atanov Arsenii Ashukha Dmitry Molchanov Kirill Neklyudov Dmitry Vetrov UQCV BDL 70 47 0 13 Feb 2018
Gradient conjugate priors and multi-layer neural networks P. Gurevich Hannes Stuke BDL 68 14 0 07 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018
Overpruning in Variational Bayesian Neural Networks Brian L. Trippe Richard Turner BDL 71 53 0 18 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 140 884 0 26 Nov 2017
Uncertainty Averse Pushing with Model Predictive Path Integral Control Ermano Arruda Michael J. Mathew Marek Kopicki Michael N. Mistry M. Azad J. Wyatt 69 41 0 11 Oct 2017
Distance-based Confidence Score for Neural Network Classifiers Amit Mandelbaum D. Weinshall UQCV 73 112 0 28 Sep 2017
Convolutional neural networks that teach microscopes how to image R. Horstmeyer Richard Y. Chen Barbara Kappes B. Judkewitz 130 59 0 21 Sep 2017
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations Shuochao Yao Yiran Zhao Huajie Shao Aston Zhang Chao Zhang Shen Li Tarek Abdelzaher UQCV HAI 83 37 0 09 Sep 2017
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling Sungjoon Choi Kyungjae Lee Sungbin Lim Songhwai Oh 88 98 0 03 Sep 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 301 5,889 0 14 Jun 2017
Confident Multiple Choice Learning Kimin Lee Changho Hwang KyoungSoo Park Jinwoo Shin 78 49 0 12 Jun 2017
UCB Exploration via Q-Ensembles Richard Y. Chen Szymon Sidor Pieter Abbeel John Schulman OffRL 73 6 0 05 Jun 2017
Efficient variational Bayesian neural network ensembles for outlier detection Nick Pawlowski Miguel Jaques Ben Glocker BDL UQCV 37 13 0 20 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 174 461 0 06 Mar 2017
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time J. Curtò I. Zarza Feng Yang Alex Smola Fernando de la Torre Chong Wah Ngo Luc van Gool 69 3 0 27 Feb 2017
Predicting Surgery Duration with Neural Heteroscedastic Regression Nathan Ng R. Gabriel Julian McAuley Charles Elkan Zachary Chase Lipton 37 23 0 17 Feb 2017