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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
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 86 31 0 03 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 76 6 0 02 May 2022
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning Angelo Ziletti Alan Akbik Christoph Berns T. Herold Marion Legler Martina Viell MedIm 39 8 0 01 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 235 51 0 01 May 2022
Deep Ensemble as a Gaussian Process Approximate Posterior Zhijie Deng Feng Zhou Jianfei Chen Guoqiang Wu Jun Zhu UQCV 46 5 0 30 Apr 2022
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation Gusseppe Bravo Rocca Peini Liu Jordi Guitart Ajay Dholakia David Ellison M. Hodak 60 2 0 29 Apr 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 74 2 0 29 Apr 2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly Spencer Whitehead Suzanne Petryk Vedaad Shakib Joseph E. Gonzalez Trevor Darrell Anna Rohrbach Marcus Rohrbach 107 56 0 28 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 62 2 0 28 Apr 2022
Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles Jihed Khiari Cristina Olaverri-Monreal 56 2 0 27 Apr 2022
Uncertainty Quantification for nonparametric regression using Empirical Bayesian neural networks Stefan Franssen Botond Szabó BDL UQCV 91 4 0 27 Apr 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 90 233 0 25 Apr 2022
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection Meng Xing Zhiyong Feng Yong Su Changjae Oh OODD 74 4 0 23 Apr 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Matias Valdenegro-Toro Daniel Saromo UD PER BDL UQCV 72 86 0 20 Apr 2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models Mihailo Isakov Mikaela Currier Eliakin Del Rosario Sandeep Madireddy Prasanna Balaprakash P. Carns R. Ross Glenn K. Lockwood Michel A. Kinsy 69 2 0 18 Apr 2022
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio Jiangeng Chang Y. Ruan Shaoze Cui John Soong Tshon Yit Mengling Feng 57 6 0 16 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 77 26 0 14 Apr 2022
Disentangling Uncertainty in Machine Translation Evaluation Chrysoula Zerva T. Glushkova Ricardo Rei André F.T. Martins UD UQCV 103 9 0 13 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 218 536 0 13 Apr 2022
A high-resolution canopy height model of the Earth Nico Lang W. Jetz Konrad Schindler Jan Dirk Wegner 65 288 0 13 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 262 2,631 0 12 Apr 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments Christopher Hidey Fei Liu Rahul Goel 89 4 0 10 Apr 2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates Alina Roitberg Kunyu Peng David Schneider Kailun Yang Marios Koulakis Manuel Martínez Rainer Stiefelhagen UQCV 68 9 0 10 Apr 2022
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology J. Dolezal Andrew Srisuwananukorn D. Karpeyev S. Ramesh S. Kochanny ... Jefree J. Schulte E. Vokes M. Garassino A. Husain A. Pearson OOD 146 97 0 09 Apr 2022
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction Zehai Tu Ning Ma Jon Barker 53 17 0 08 Apr 2022
Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning D. Baek Amartya Purushottam Joao Ramos 78 10 0 07 Apr 2022
Discovering and forecasting extreme events via active learning in neural operators Ethan Pickering Stephen Guth George Karniadakis T. Sapsis AI4CE 79 59 0 05 Apr 2022
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography R. Schwartz Hagar Khalid S. Liakopoulos Y. Ouyang Coen de Vente ... Zhichao Wu Himeesh Kumar Joseph Farrington C. Sánchez A. Tufail 40 26 0 05 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 90 11 0 05 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Prasanna Balaprakash Jane Macfarlane BDL 65 11 0 04 Apr 2022
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers J. S. Andersen W. Maalej 62 9 0 04 Apr 2022
Autoencoder Attractors for Uncertainty Estimation S. Cruz B. Taetz Thomas Stifter D. Stricker UQCV 79 9 0 01 Apr 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 94 51 0 30 Mar 2022
Learning Structured Gaussians to Approximate Deep Ensembles Ivor J. A. Simpson Sara Vicente Neill D. F. Campbell UQCV 42 10 0 29 Mar 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation Jogendra Nath Kundu Siddharth Seth YM Pradyumna Varun Jampani Anirban Chakraborty R. Venkatesh Babu 3DH 79 32 0 29 Mar 2022
Understanding out-of-distribution accuracies through quantifying difficulty of test samples Berfin Simsek Melissa Hall Levent Sagun 64 5 0 28 Mar 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection Jiaming Han Yuqiang Ren Jian Ding Xingjia Pan Ke Yan Guisong Xia ObjD 113 63 0 28 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
Enabling faster and more reliable sonographic assessment of gestational age through machine learning Chace Lee Angelica Willis Christina W. Chen M. Sieniek Akib A Uddin ... Rory Pilgrim Katherine Chou Daniel Tse S. Shetty Ryan G. Gomes 47 0 0 22 Mar 2022
Calibration of Machine Reading Systems at Scale Shehzaad Dhuliawala Leonard Adolphs Rajarshi Das Mrinmaya Sachan 82 12 0 20 Mar 2022
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection I. Ndiour Nilesh A. Ahuja Omesh Tickoo OODD 51 5 0 20 Mar 2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification Jianxiong Shen Antonio Agudo Francesc Moreno-Noguer Adria Ruiz AI4CE 129 59 0 18 Mar 2022
AI system for fetal ultrasound in low-resource settings Ryan G. Gomes B. Vwalika Chace Lee Angelica Willis M. Sieniek ... L. Peng Katherine Chou Daniel Tse J. Stringer S. Shetty 44 2 0 18 Mar 2022
Transframer: Arbitrary Frame Prediction with Generative Models C. Nash João Carreira Jacob Walker Iain Barr Andrew Jaegle Mateusz Malinowski Peter W. Battaglia ViT 118 38 0 17 Mar 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 108 37 0 17 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition Francesco Cappio Borlino S. Bucci Tatiana Tommasi SSL 65 3 0 17 Mar 2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Maximilian Seitzer Arash Tavakoli Dimitrije Antic Georg Martius BDL UQCV 86 90 0 17 Mar 2022
Hyperbolic Uncertainty Aware Semantic Segmentation Bike Chen Wei Peng Xiaofeng Cao Juha Roning UQCV 106 17 0 16 Mar 2022
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation Kaisar Kushibar Víctor M. Campello Lidia Garrucho Moras Akis Linardos Petia Radeva Karim Lekadir UQCV 61 18 0 16 Mar 2022
PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu Yunxu Xu Hao Li Zhanzhan Cheng Yi Niu 78 57 0 16 Mar 2022