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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
Post-hoc Models for Performance Estimation of Machine Learning Inference Xuechen Zhang Samet Oymak Jiasi Chen UQCV 56 5 0 06 Oct 2021
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL Wonjoon Goo S. Niekum OffRL 83 8 0 05 Oct 2021
$Δ$ -UQ: Accurate Uncertainty Quantification via Anchor Marginalization Rushil Anirudh Jayaraman J. Thiagarajan 63 1 0 05 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 90 113 0 05 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection Stefano Gasperini Johannes Haug M. N. Mahani Alvaro Marcos-Ramiro Nassir Navab Benjamin Busam F. Tombari UQCV 44 24 0 04 Oct 2021
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation D. Yao S. Mclaughlin Y. Altmann 45 6 0 04 Oct 2021
Marginally calibrated response distributions for end-to-end learning in autonomous driving Clara Hoffmann Nadja Klein 89 2 0 03 Oct 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration Y. Sun Wenjun Xiong F. Liang 122 8 0 01 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 68 6 0 01 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 194 55 0 01 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali ObjD 70 53 0 01 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 306 355 0 01 Oct 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 86 15 0 30 Sep 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 167 127 0 29 Sep 2021
Word-level confidence estimation for RNN transducers Mingqiu Wang H. Soltau Laurent El Shafey Izhak Shafran UQCV 69 5 0 28 Sep 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 287 294 0 28 Sep 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 93 5 0 28 Sep 2021
DEBOSH: Deep Bayesian Shape Optimization Nikita Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 105 15 0 28 Sep 2021
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks Jianxiang Feng M. Durner Zoltán-Csaba Márton Ferenc Bálint-Benczédi Rudolph Triebel UQCV BDL 84 11 0 27 Sep 2021
Bayesian deep learning of affordances from RGB images Lorenzo Mur-Labadia Ruben Martinez-Cantin UQCV BDL 128 0 0 27 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 112 13 0 27 Sep 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 97 19 0 26 Sep 2021
A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS Rishabh Singh José C. Príncipe 45 4 0 22 Sep 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 80 12 0 22 Sep 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider Willie Neiswanger 93 72 0 21 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 73 8 0 21 Sep 2021
Heterogeneous Ensemble for ESG Ratings Prediction Timo Krappel Alexander A. Bogun Damian Borth 21 18 0 21 Sep 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 153 246 0 21 Sep 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation Gwangbin Bae Ignas Budvytis R. Cipolla 148 118 0 20 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 92 21 0 20 Sep 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 119 14 0 20 Sep 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV 73 4 0 20 Sep 2021
Reliable Neural Networks for Regression Uncertainty Estimation Tony Tohme Kevin Vanslette K. Youcef-Toumi UQCV BDL 85 15 0 16 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 94 19 0 16 Sep 2021
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net Yanwu Yang Xutao Guo Yiwei Pan P. Shi Haiyan Lv Tingxia Ma UQCV 58 8 0 15 Sep 2021
Uncertainty-Aware Machine Translation Evaluation T. Glushkova Chrysoula Zerva Ricardo Rei André F.T. Martins UQLM 128 45 0 13 Sep 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 64 8 0 10 Sep 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning Preethi Lahoti Krishna P. Gummadi Gerhard Weikum 56 3 0 09 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 192 69 0 09 Sep 2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms Sumedh Anand Sontakke Sumegh Roychowdhury Mausoom Sarkar Nikaash Puri Balaji Krishnamurthy Laurent Itti 67 1 0 08 Sep 2021
Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth Chongyang Wang Yuan Gao Chenyou Fan Junjie Hu Tin Lun Lam Nicholas D. Lane N. Bianchi-Berthouze 39 3 0 08 Sep 2021
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods Bo Zhou Kejiao Li Hongsheng Zeng Fan Wang Hao Tian OffRL 69 1 0 08 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation Derek Chen Zhou Yu 77 31 0 07 Sep 2021
Combining data assimilation and machine learning to estimate parameters of a convective-scale model Stefanie Legler T. Janjić 73 19 0 07 Sep 2021
Neural Ensemble Search via Bayesian Sampling Yao Shu Yizhou Chen Zhongxiang Dai Bryan Kian Hsiang Low BDL 63 8 0 06 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso H. Pemberton UQCV 102 5 0 06 Sep 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 129 70 0 05 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 231 742 0 04 Sep 2021
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator Rhys Green Matthew Rowe A. Polleri 50 3 0 02 Sep 2021