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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
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks Shreyas Padhy Zachary Nado Jie Jessie Ren J. Liu Jasper Snoek Balaji Lakshminarayanan UQCV 88 47 0 10 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 110 204 0 09 Jul 2020
Uncertainty Quantification in Deep Residual Neural Networks Lukasz Wandzik R. Vicente-Garcia J. Krüger UQCV 36 1 0 09 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy Mannudeep K. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 63 55 0 08 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 78 28 0 08 Jul 2020
Deep Ensemble Analysis for Imaging X-ray Polarimetry A. L. Peirson R. Romani H. Marshall J. Steiner L. Baldini 23 19 0 08 Jul 2020
Single Shot MC Dropout Approximation K. Brach Beate Sick Oliver Durr UQCV BDL 76 21 0 07 Jul 2020
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? Baihong Jin Yingshui Tan Yuxin Chen K. Poolla Alberto L. Sangiovanni-Vincentelli AI4CE 45 2 0 07 Jul 2020
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing Lakshay Chauhan J. Alberg Zachary Chase Lipton AI4TS AIFin 50 13 0 07 Jul 2020
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 50 1 0 06 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 89 34 0 05 Jul 2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds Swaroop Bhandary Nico Hochgeschwender Paul Pl¨oger Frank Kirchner Matias Valdenegro-Toro UQCV 3DPC 43 5 0 03 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 82 7 0 03 Jul 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 111 150 0 03 Jul 2020
Uncertainty Prediction for Deep Sequential Regression Using Meta Models Jirí Navrátil Matthew Arnold Benjamin Elder BDL UQCV 34 6 0 02 Jul 2020
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices Guotai Wang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren Shaoting Zhang 87 35 0 02 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 195 645 0 01 Jul 2020
Classification Confidence Estimation with Test-Time Data-Augmentation Yuval Bahat Gregory Shakhnarovich 57 18 0 30 Jun 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 86 25 0 29 Jun 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa M. Schaar UD UQCV BDL TDI 92 53 0 29 Jun 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee Joong-won Hwang Hyungil Kim Kimin Yun Yongjin Kwon Yuseok Bae Joungyoul Park 94 32 0 28 Jun 2020
A Confidence-Calibrated MOBA Game Winner Predictor Dong-Hee Kim Changwoo Lee Ki-Seok Chung 21 12 0 28 Jun 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 102 140 0 26 Jun 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications F. Arnez H. Espinoza A. Radermacher Franccois Terrier UQCV 71 30 0 26 Jun 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 86 39 0 26 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 83 188 0 26 Jun 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 82 54 0 25 Jun 2020
AutoCP: Automated Pipelines for Accurate Prediction Intervals Yao Zhang W. Zame M. Schaar 53 0 0 24 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 110 212 0 24 Jun 2020
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation Elias Kassapis G. Dikov D. K. Gupta C. Nugteren 92 17 0 23 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 113 34 0 23 Jun 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 98 63 0 22 Jun 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks Sujay Thakur Cooper Lorsung Yaniv Yacoby Finale Doshi-Velez Weiwei Pan BDL UQCV 90 4 0 21 Jun 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 83 23 0 20 Jun 2020
From Predictions to Decisions: Using Lookahead Regularization Nir Rosenfeld Sophie Hilgard S. Ravindranath David C. Parkes 58 21 0 20 Jun 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseo Lee Matthias Humt Jianxiang Feng Rudolph Triebel BDL UQCV 103 47 0 20 Jun 2020
Regression Prior Networks A. Malinin Sergey Chervontsev Ivan Provilkov Mark Gales BDL UQCV 82 38 0 20 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 121 18 0 20 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 123 251 0 19 Jun 2020
MARS: Masked Automatic Ranks Selection in Tensor Decompositions M. Kodryan D. Kropotov Dmitry Vetrov 64 9 0 18 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta Aleksandr Podkopaev Aaditya Ramdas UQCV 120 83 0 18 Jun 2020
Uncertainty in Gradient Boosting via Ensembles Aleksei Ustimenko Liudmila Prokhorenkova A. Malinin UQCV 91 97 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 100 60 0 18 Jun 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy Peng Cui Wenbo Hu Jun Zhu UQCV 75 49 0 18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 290 452 0 17 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 76 109 0 17 Jun 2020
Quality Management of Machine Learning Systems P. Santhanam 39 18 0 16 Jun 2020
Selective Question Answering under Domain Shift Amita Kamath Robin Jia Percy Liang OOD 61 214 0 16 Jun 2020
Density of States Estimation for Out-of-Distribution Detection Warren Morningstar Cusuh Ham Andrew Gallagher Balaji Lakshminarayanan Alexander A. Alemi Joshua V. Dillon OODD 102 85 0 16 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 114 186 0 16 Jun 2020