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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
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 123 76 0 27 Oct 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 66 32 0 27 Oct 2021
Diversity Matters When Learning From Ensembles G. Nam Jongmin Yoon Yoonho Lee Juho Lee UQCV FedML VLM 93 36 0 27 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 77 30 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 120 89 0 26 Oct 2021
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 98 45 0 26 Oct 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy Ido Galil Ran El-Yaniv AAML 48 17 0 26 Oct 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 63 7 0 26 Oct 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 134 49 0 26 Oct 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 104 5 0 25 Oct 2021
False Correlation Reduction for Offline Reinforcement Learning Arvindkumar Krishnakumar Zuyue Fu Lingxiao Wang Zhuoran Yang Chenjia Bai Tianyi Zhou Judy Hoffman Jing Jiang OffRL 76 9 0 24 Oct 2021
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 94 21 0 24 Oct 2021
Perceptual Consistency in Video Segmentation Yizhe Zhang Shubhankar Borse Hong Cai Ying Wang N. Bi Xiaoyun Jiang Fatih Porikli VOS 50 14 0 24 Oct 2021
Quantifying Epistemic Uncertainty in Deep Learning Ziyi Huang Henry Lam Haofeng Zhang UQCV BDL UD PER 134 14 0 23 Oct 2021
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise Matej Zevcević Andrew A. Li Kristian Kersting 50 6 0 22 Oct 2021
Learning Proposals for Practical Energy-Based Regression L. Kumar Martin Danelljan Thomas B. Schon 72 4 0 22 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 51 20 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 309 955 0 21 Oct 2021
SLURP: Side Learning Uncertainty for Regression Problems Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV BDL 62 14 0 21 Oct 2021
Bayesian Meta-Learning Through Variational Gaussian Processes Vivek Myers Nikhil Sardana BDL UQCV 36 5 0 21 Oct 2021
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks A. Sambyal N. C. Krishnan Deepti R. Bathula UQCV MedIm 44 15 0 21 Oct 2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks Z. Ge Xin Wang 58 7 0 21 Oct 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 69 6 0 20 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 58 7 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 101 127 0 18 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo Edward Choi OOD 79 3 0 18 Oct 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection Koby Bibas M. Feder Tal Hassner OODD 79 24 0 18 Oct 2021
Uncertainty-Aware Semi-Supervised Few Shot Segmentation Soopil Kim Philip Chikontwe Sang Hyun Park 83 15 0 18 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 75 152 0 17 Oct 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye Qiang Liu 50 1 0 17 Oct 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 104 13 0 15 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras Aleksander Madry 113 14 0 15 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 64 0 0 15 Oct 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 135 43 0 13 Oct 2021
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength Haichao Yu Zhe Chen Dong Lin G. Shamir Jie Han UQCV 79 0 0 13 Oct 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 133 11 0 13 Oct 2021
Robust Neural Regression via Uncertainty Learning Akib Mashrur Wei Luo Nayyar Zaidi A. Robles-Kelly OOD UQCV 84 3 0 12 Oct 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 57 2 0 12 Oct 2021
The Neural Testbed: Evaluating Joint Predictions Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla Botao Hao M. Ibrahimi Dieterich Lawson Xiuyuan Lu Brendan O'Donoghue Benjamin Van Roy UQCV 94 22 0 09 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 71 40 0 08 Oct 2021
Revisiting Design Choices in Offline Model-Based Reinforcement Learning Cong Lu Philip J. Ball Jack Parker-Holder Michael A. Osborne Stephen J. Roberts OffRL 95 57 0 08 Oct 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 117 10 0 08 Oct 2021
De-randomizing MCMC dynamics with the diffusion Stein operator Zheyan Shen Markus Heinonen Samuel Kaski DiffM 42 4 0 07 Oct 2021
Sparse MoEs meet Efficient Ensembles J. Allingham F. Wenzel Zelda E. Mariet Basil Mustafa J. Puigcerver ... Balaji Lakshminarayanan Jasper Snoek Dustin Tran Carlos Riquelme Ruiz Rodolphe Jenatton MoE 83 21 0 07 Oct 2021
Propagating State Uncertainty Through Trajectory Forecasting Boris Ivanovic Yifeng Lin Shubham Shrivastava Punarjay Chakravarty Marco Pavone 149 19 0 07 Oct 2021
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions Afshar Shamsi Hamzeh Asgharnezhad AmirReza Tajally Saeid Nahavandi Henry Leung UQCV 85 8 0 07 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 150 55 0 06 Oct 2021
Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios Max Winkelmann Mike Kohlhoff H. Tadjine Steffen Müller 54 9 0 06 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 78 11 0 06 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 101 12 0 06 Oct 2021