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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
Ensembling Low Precision Models for Binary Biomedical Image Segmentation Tianyu Ma Hang Zhang Hanley Ong Amar Vora Thanh D. Nguyen Ajay Gupta Yi Wang M. Sabuncu UQCV 41 13 0 16 Oct 2020
Deep and interpretable regression models for ordinal outcomes Lucas Kook L. Herzog Torsten Hothorn Oliver Durr Beate Sick 76 15 0 16 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 67 34 0 16 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 122 171 0 15 Oct 2020
Selective Classification via One-Sided Prediction Aditya Gangrade Anil Kag Venkatesh Saligrama UQCV 115 36 0 15 Oct 2020
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit Ben Adlam Jaehoon Lee Lechao Xiao Jeffrey Pennington Jasper Snoek UQCV BDL 74 16 0 14 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 56 24 0 14 Oct 2020
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 86 76 0 14 Oct 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three Steven Reich David Mueller Nicholas Andrews BDL OOD UQCV 54 13 0 13 Oct 2020
A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price Dipanwita Saha Felipe Lopez 19 1 0 13 Oct 2020
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles Ushnish Sengupta Maximilian L. Croci M. Juniper 20 3 0 11 Oct 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic Feiyang Pan Jia He Dandan Tu Qing He OffRL 61 47 0 10 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger VLM 82 30 0 10 Oct 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 70 4 0 08 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 358 1,382 0 08 Oct 2020
Ensembling geophysical models with Bayesian Neural Networks Ushnish Sengupta Matt Amos J. S. Hosking C. Rasmussen M. Juniper P. Young UQCV BDL 24 17 0 07 Oct 2020
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures Benjamin Kompa Jasper Snoek Andrew L. Beam UQCV BDL 100 31 0 06 Oct 2020
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 74 30 0 06 Oct 2020
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence Agustinus Kristiadi Matthias Hein Philipp Hennig BDL 63 9 0 06 Oct 2020
Deep Learning based Uncertainty Decomposition for Real-time Control Neha Das Jonas Umlauft Armin Lederer Thomas Beckers Sandra Hirche UD 73 0 0 06 Oct 2020
Understanding Classifier Mistakes with Generative Models Laetitia Shao Yang Song Stefano Ermon 44 4 0 05 Oct 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning Zhijie Deng Jun Zhu BDL 46 9 0 05 Oct 2020
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation Omer Achrack Raizy Kellerman Ouriel Barzilay UQCV BDL 74 9 0 05 Oct 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 33 3 0 05 Oct 2020
A primer on model-guided exploration of fitness landscapes for biological sequence design Sam Sinai Eric D. Kelsic 79 30 0 04 Oct 2020
Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes UQCV 23 2 0 03 Oct 2020
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng Qi Feng G. Karagiannis Guang Lin F. Liang 77 9 0 02 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 65 7 0 02 Oct 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang Jingyang Zhang Hongliang Dong Nathan Inkawhich Andrew B. Gardner Andrew Touchet Wesley Wilkes Heath Berry H. Li AAML 83 109 0 30 Sep 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 246 338 0 29 Sep 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 65 3 0 29 Sep 2020
Neural Model-based Optimization with Right-Censored Observations Katharina Eggensperger Kai Haase Philip Muller Marius Lindauer Frank Hutter 85 9 0 29 Sep 2020
Accelerating Multi-Model Inference by Merging DNNs of Different Weights Joo Seong Jeong Soojeong Kim Gyeong-In Yu Yunseong Lee Byung-Gon Chun FedML MoMe AI4CE 29 7 0 28 Sep 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 50 7 0 25 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 148 806 0 24 Sep 2020
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise K. Nikolaidis T. Plagemann Stein Kristiansen V. Goebel Mohan Kankanhalli NoLa UQCV 37 3 0 23 Sep 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 74 56 0 23 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 147 452 0 22 Sep 2020
Distributional Generalization: A New Kind of Generalization Preetum Nakkiran Yamini Bansal OOD 85 42 0 17 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 68 29 0 14 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 95 10 0 14 Sep 2020
Genetic Programming is Naturally Suited to Evolve Bagging Ensembles M. Virgolin 51 0 0 13 Sep 2020
Fair and accurate age prediction using distribution aware data curation and augmentation Yushi Cao David Berend Palina Tolmach Guy Amit Mosh Levy Yang Liu A. Shabtai Yuval Elovici CVBM 71 7 0 11 Sep 2020
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 74 7 0 10 Sep 2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing Lorenzo Bertoni S. Kreiss Alexandre Alahi 78 32 0 01 Sep 2020
Driving Through Ghosts: Behavioral Cloning with False Positives Andreas Buhler Adrien Gaidon Andrei Cramariuc Rares Andrei Ambrus Guy Rosman Wolfram Burgard 85 17 0 29 Aug 2020
Webly Supervised Image Classification with Self-Contained Confidence Jingkang Yang Xue Jiang Weirong Chen Xiaopeng Yan Huabin Zheng Ping Luo Wayne Zhang 65 15 0 27 Aug 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 303 111 0 26 Aug 2020
Surrogate Model For Field Optimization Using Beta-VAE Based Regression Ajitabh Kumar 35 0 0 26 Aug 2020
Active learning of deep surrogates for PDEs: Application to metasurface design R. Pestourie Youssef Mroueh Thanh V. Nguyen Payel Das Steven G. Johnson AI4CE 53 74 0 24 Aug 2020