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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
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss David Macêdo Teresa B Ludermir OODD 124 13 0 30 May 2021
Greedy Bayesian Posterior Approximation with Deep Ensembles A. Tiulpin Matthew B. Blaschko UQCV FedML 91 4 0 29 May 2021
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification Vinicius L. S. Silva Claire E. Heaney N. Nenov Christopher C. Pain AI4CE 63 3 0 28 May 2021
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving Victor Besnier David Picard Alexandre Briot UQCV 55 11 0 28 May 2021
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques E. Karbab M. Debbabi AAML 15 4 0 27 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 136 612 0 27 May 2021
Deep Ensembles from a Bayesian Perspective L. Hoffmann Clemens Elster UD BDL UQCV 74 38 0 27 May 2021
Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC Jeremie Coullon Leah F. South Christopher Nemeth 85 12 0 27 May 2021
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods K. Takahashi W. Ko Avinash Ummadisingu S. Maeda OOD 56 23 0 27 May 2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving Kinjal Dasgupta Arindam Das Sudip Das Ujjwal Bhattacharya S. Yogamani 75 67 0 26 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness Namuk Park S. Kim UQCV AAML 93 21 0 26 May 2021
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications L. Mosser E. Naeini UQCV BDL 29 0 0 25 May 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4TS 97 71 0 25 May 2021
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability Dominik Seuss 105 16 0 25 May 2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network Dipika Singhania R. Rahaman Angela Yao AI4TS 83 55 0 23 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 75 22 0 22 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 251 48 0 20 May 2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection L. N. Alegre A. Bazzan Bruno C. da Silva OffRL 54 23 0 20 May 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 236 54 0 19 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 76 18 0 19 May 2021
Aleatoric uncertainty for Errors-in-Variables models in deep regression J. Martin Clemens Elster UQCV UD BDL 79 9 0 19 May 2021
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models S. Lazic Dominic P. Williams UD 61 14 0 18 May 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 80 190 0 17 May 2021
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI Taro Langner Robin Strand H. Ahlström J. Kullberg 37 1 0 17 May 2021
Universal Regular Conditional Distributions Anastasis Kratsios 97 3 0 17 May 2021
An Effective Baseline for Robustness to Distributional Shift S. Thulasidasan Sushil Thapa S. Dhaubhadel Gopinath Chennupati Tanmoy Bhattacharya J. Bilmes OOD OODD 70 27 0 15 May 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets Max Ryabinin A. Malinin Mark Gales UQCV 53 18 0 14 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 134 0 14 May 2021
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning Adrian Remonda Eduardo E. Veas Granit Luzhnica 55 4 0 12 May 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective Shahbaz Rezaei Zubair Shafiq Xin Liu FedML MIACV 63 14 0 12 May 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 85 40 0 10 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 70 17 0 10 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 85 36 0 10 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 83 35 0 10 May 2021
Selective Probabilistic Classifier Based on Hypothesis Testing Saeed Bakhshi Germi Esa Rahtu H. Huttunen 79 1 0 09 May 2021
Interpretable Mixture Density Estimation by use of Differentiable Tree-module Ryuichi Kanoh Tomu Yanabe 24 0 0 08 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 96 36 0 07 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 75 23 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 58 7 0 06 May 2021
Bayesian Active Learning by Disagreements: A Geometric Perspective Xiaofeng Cao Ivor W. Tsang 38 8 0 06 May 2021
Distribution Awareness for AI System Testing David Berend 57 8 0 06 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 99 249 0 05 May 2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders Felix Möller Diego Botache Denis Huseljic Florian Heidecker Maarten Bieshaar Bernhard Sick OODD 83 26 0 04 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 112 136 0 30 Apr 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 110 114 0 30 Apr 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 81 389 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 126 58 0 29 Apr 2021
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth Javier Rodríguez-Puigvert Ruben Martinez Cantin Javier Civera UQCV BDL SSL 77 8 0 29 Apr 2021
Uncertainty-aware deep learning for robot touch: Application to Bayesian tactile servo control M. F. Vázquez Nathan Lepora BDL 19 2 0 29 Apr 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals Yuandu Lai Yucheng Shi Yahong Han Yunfeng Shao Meiyu Qi Bingshuai Li UQCV 65 15 0 27 Apr 2021