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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
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 115 15 0 24 Feb 2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach Jadie Adams S. Lu K. Gorski G. Rocha K. Wagstaff 25 1 0 24 Feb 2023
Sharp Calibrated Gaussian Processes A. Capone Geoff Pleiss Sandra Hirche UQCV 211 4 0 23 Feb 2023
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 78 31 0 23 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 72 5 0 22 Feb 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 70 0 0 22 Feb 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 100 1 0 21 Feb 2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations Monika Grewal Dustin van Weersel H. Westerveld Peter A. N. Bosman Tanja Alderliesten 21 2 0 21 Feb 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R. Maulik Romain Egele Krishnan Raghavan Prasanna Balaprakash UQCV AI4TS AI4CE 65 6 0 20 Feb 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Lorenz Kuhn Y. Gal Sebastian Farquhar UQLM 233 313 0 19 Feb 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 66 7 0 19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 65 2 0 19 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 84 10 0 18 Feb 2023
Approximate Thompson Sampling via Epistemic Neural Networks Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla M. Ibrahimi Xiuyuan Lu Benjamin Van Roy BDL 82 22 0 18 Feb 2023
Black-Box Batch Active Learning for Regression Andreas Kirsch 70 9 0 17 Feb 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 106 23 0 17 Feb 2023
Optimal Training of Mean Variance Estimation Neural Networks Laurens Sluijterman Eric Cator Tom Heskes DRL 83 27 0 17 Feb 2023
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making Chengbo Zheng Yuheng Wu Chuhan Shi Shuai Ma Jiehui Luo Xiaojuan Ma 90 28 0 17 Feb 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 73 6 0 17 Feb 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Victor Picheny Joel Berkeley Henry B. Moss Hrvoje Stojić Uri Granta ... Sergio Pascual-Diaz Stratis Markou Jixiang Qing Nasrulloh Loka Ivo Couckuyt 88 17 0 16 Feb 2023
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation Shuwei Shao Z. Pei Weihai Chen Ran Li Zhong Liu Zhengguo Li ViT UQCV 104 35 0 16 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 127 92 0 16 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 85 15 0 15 Feb 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 81 1 0 14 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 85 5 0 13 Feb 2023
Probabilistic Circuits That Know What They Don't Know Fabrizio G. Ventola Steven Braun Zhongjie Yu Martin Mundt Kristian Kersting UQCV TPM 72 7 0 13 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 185 6 0 13 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 127 16 0 13 Feb 2023
Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming Buse Çisil Güldoğuş Abdullah Nazhat Abdullah Muhammad Ammar Ali Süreyya Özögür-Akyüz 76 0 0 12 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 75 5 0 11 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Zorah Lähner UQCV 54 5 0 10 Feb 2023
Confidence-based Reliable Learning under Dual Noises Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 40 8 0 10 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 127 37 0 10 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics Luis Basora Arthur Viens M. A. Chao X. Olive UQCV BDL OOD 96 11 0 09 Feb 2023
Mixed-order self-paced curriculum learning for universal lesion detection Han Li H. Han S. Kevin Zhou 78 1 0 09 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 107 39 0 08 Feb 2023
Best Practices in Active Learning for Semantic Segmentation Sudhanshu Mittal J. Niemeijer Jörg P. Schäfer Thomas Brox VLM 114 16 0 08 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 116 36 0 08 Feb 2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning Gianluca Detommaso Alberto Gasparin Michele Donini Matthias Seeger A. Wilson Cédric Archambeau UQCV BDL 115 14 0 08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV 66 12 0 07 Feb 2023
An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping Julius Ruckin Federico Magistri C. Stachniss Marija Popović 97 17 0 07 Feb 2023
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning Ling Guo Hao Wu Wenwen Zhou Yan Wang Tao Zhou UQCV 68 12 0 07 Feb 2023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters Josef Dean Kerstin Klaser Zhiyi Li Sam Maddrell-Mander ... D. Beker Andrew Fitzgibbon Shenyang Huang Ladislav Rampášek Dominique Beaini 119 8 0 06 Feb 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 110 13 0 06 Feb 2023
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging Tommaso Giannantonio Anna Alperovich Piercosimo Semeraro Manfredo Atzori Xiaohan Zhang ... Siri Luthman R. Vandebriel M. Jayapala L. Solie S. Vleeschouwer 38 11 0 06 Feb 2023
Flat Seeking Bayesian Neural Networks Van-Anh Nguyen L. Vuong Hoang Phan Thanh-Toan Do Dinh Q. Phung Trung Le BDL 100 10 0 06 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness Ailin Deng Shen Li Miao Xiong Zhirui Chen Bryan Hooi 66 4 0 06 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 110 10 0 06 Feb 2023
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification Cameron J Gruich Varun Madhavan Yixin Wang B. Goldsmith 54 11 0 06 Feb 2023
Variational Inference on the Final-Layer Output of Neural Networks Yadi Wei Roni Khardon BDL UQCV 91 0 0 05 Feb 2023