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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"

50 / 3,224 papers shown

Title
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 128 22 0 18 Oct 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 98 149 0 15 Oct 2018
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce Felix Leibfried Alexandra Brintrup Mohamed H. Zaki A. Neely BDL UQCV 77 199 0 12 Oct 2018
Predictive Uncertainty through Quantization Bastiaan S. Veeling Rianne van den Berg Max Welling UQCV 52 1 0 12 Oct 2018
Deterministic Variational Inference for Robust Bayesian Neural Networks Anqi Wu Sebastian Nowozin Edward Meeds Richard Turner José Miguel Hernández-Lobato Alexander L. Gaunt UQCV AAML BDL 100 16 0 09 Oct 2018
HG-DAgger: Interactive Imitation Learning with Human Experts Michael Kelly Chelsea Sidrane Katherine Driggs-Campbell Mykel J. Kochenderfer OffRL 238 231 0 05 Oct 2018
Inhibited Softmax for Uncertainty Estimation in Neural Networks Marcin Mo.zejko Mateusz Susik Rafal Karczewski UQCV 75 29 0 03 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection Hyun-Jae Choi Eric Jang Alexander A. Alemi OODD 103 82 0 02 Oct 2018
Probabilistic Meta-Representations Of Neural Networks Theofanis Karaletsos Peter Dayan Zoubin Ghahramani BDL 110 26 0 01 Oct 2018
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences Seonguk Seo Paul Hongsuck Seo Bohyung Han FedML UQCV BDL 163 76 0 28 Sep 2018
Dropout Distillation for Efficiently Estimating Model Confidence Corina Gurau Alex Bewley Ingmar Posner BDL UQCV 50 19 0 27 Sep 2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 55 59 0 27 Sep 2018
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals Vikas Dhiman Shurjo Banerjee J. Siskind Jason J. Corso OffRL 61 13 0 25 Sep 2018
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks I. Cortés-Ciriano A. Bender OOD UQCV 67 61 0 24 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 115 108 0 17 Sep 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors Alireza Shafaei Mark Schmidt James J. Little OODD 129 58 0 13 Sep 2018
Discriminative out-of-distribution detection for semantic segmentation Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 79 80 0 23 Aug 2018
zoNNscan : a boundary-entropy index for zone inspection of neural models Adel Jaouen Erwan Le Merrer UQCV 62 3 0 21 Aug 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 74 9 0 21 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 92 85 0 20 Aug 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving Nemanja Djuric Vladan Radosavljevic Henggang Cui Thi Nguyen Fang-Chieh Chou Tsung-Han Lin Nitin Singh J. Schneider 109 206 0 17 Aug 2018
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 116 271 0 16 Aug 2018
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization T. T. Um Franz MJ Pfister Daniel C. Pichler Satoshi Endo Muriel Lang Sandra Hirche U. Fietzek Dana Kulić 41 17 0 08 Aug 2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning Kunal Menda Katherine Driggs-Campbell Mykel J. Kochenderfer 193 119 0 22 Jul 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren UQCV MedIm OOD 170 594 0 19 Jul 2018
Uncertainty in the Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon 59 100 0 02 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 125 114 0 02 Jul 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 214 637 0 01 Jul 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 86 576 0 13 Jun 2018
Improving Regression Performance with Distributional Losses Ehsan Imani Martha White UQCV 71 67 0 12 Jun 2018
Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration Sreecharan Sankaranarayanan Raghuram Mandyam Annasamy Katia Sycara Carolyn Rose 35 0 0 12 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 87 380 0 08 Jun 2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation Alain Jungo Raphael Meier E. Ermiş Evelyn Herrmann M. Reyes UQCV 107 47 0 08 Jun 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 197 1,008 0 05 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 234 1,288 0 30 May 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 184 473 0 30 May 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 84 183 0 29 May 2018
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning Tim Pearce Nicolas Anastassacos Mohamed H. Zaki A. Neely BDL UQCV 74 17 0 29 May 2018
Calibrating Deep Convolutional Gaussian Processes Gia-Lac Tran Edwin V. Bonilla John P. Cunningham Pietro Michiardi Maurizio Filippone BDL UQCV 78 43 0 26 May 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo Haebeom Lee Saehoon Kim Juho Lee Kwang Joon Kim Eunho Yang Sung Ju Hwang OOD 79 87 0 24 May 2018
Likelihood-free inference with emulator networks Jan-Matthis Lueckmann Giacomo Bassetto Theofanis Karaletsos Jakob H. Macke 181 128 0 23 May 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 73 142 0 21 May 2018
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification Buu Phan UQCV BDL 44 0 0 04 May 2018
DeepTriangle: A Deep Learning Approach to Loss Reserving Kevin Kuo 75 49 0 24 Apr 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families Seong Jae Hwang Ronak R. Mehta Hyunwoo J. Kim Vikas Singh BDL UQCV 61 3 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 89 530 0 18 Apr 2018
Improving Confidence Estimates for Unfamiliar Examples Zhizhong Li Derek Hoiem 89 10 0 09 Apr 2018
Hierarchical Novelty Detection for Visual Object Recognition Kibok Lee Kimin Lee Kyle Min Y. Zhang Jinwoo Shin Honglak Lee BDL 97 70 0 02 Apr 2018
Calibrated Prediction Intervals for Neural Network Regressors Gil Keren N. Cummins Björn Schuller UQCV 78 31 0 26 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 156 508 0 13 Mar 2018