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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
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 40 0 0 22 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 96 5 0 22 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective Gleb Bazhenov Sergei Ivanov Maxim Panov Alexey Zaytsev Evgeny Burnaev UQCV 85 12 0 21 Jun 2022
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 56 7 0 21 Jun 2022
Uncertainty Quantification for Competency Assessment of Autonomous Agents Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 50 3 0 21 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 59 2 0 21 Jun 2022
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning Mohamad Khosravani Sandra Zilles UQCV 23 0 0 20 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 73 3 0 19 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation Ke Zou Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV OOD 89 57 0 19 Jun 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 101 23 0 17 Jun 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 96 31 0 17 Jun 2022
Disentangling Model Multiplicity in Deep Learning Ari Heljakka Martin Trapp Arno Solin Arno Solin 67 4 0 17 Jun 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 77 10 0 17 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari Feng Yu TTA 127 161 0 16 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 103 204 0 16 Jun 2022
High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks Yiping Xie Nils Bore John Folkesson 70 5 0 15 Jun 2022
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading Biraja Ghoshal Bhargab Ghoshal A. Tucker UQCV MedIm 43 5 0 15 Jun 2022
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation Thierry Judge Olivier Bernard M. Porumb A. Chartsias A. Beqiri Pierre-Marc Jodoin UQCV 61 16 0 15 Jun 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding Lingxiao Zhao Leman Akoglu OODD 81 22 0 15 Jun 2022
Federated Learning with Uncertainty via Distilled Predictive Distributions Shreyansh P. Bhatt Aishwarya Gupta Piyush Rai FedML 77 11 0 15 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 86 61 0 15 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 108 116 0 15 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 64 76 0 14 Jun 2022
Deep Isolation Forest for Anomaly Detection Hongzuo Xu Guansong Pang Yijie Wang Yongjun Wang 120 208 0 14 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 178 139 0 14 Jun 2022
Satellite-based high-resolution maps of cocoa planted area for Côte dÍvoire and Ghana Nikolai Kalischek Nico Lang Cécile Renier Rodrigo Caye Daudt T. Addoah W. Thompson W. Blaser-Hart R. Garrett Konrad Schindler Jan Dirk Wegner 57 7 0 13 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness Shruthi Gowda Bahram Zonooz Elahe Arani 73 5 0 12 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning Zhen Guo Zelin Wan Qisheng Zhang Xujiang Zhao F. Chen Jin-Hee Cho Qi Zhang Lance M. Kaplan Dong-Ho Jeong A. Jøsang UQCV EDL 75 10 0 12 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 71 3 0 12 Jun 2022
Gradient Boosting Performs Gaussian Process Inference Aleksei Ustimenko Artem Beliakov Liudmila Prokhorenkova BDL 81 5 0 11 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 100 24 0 10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 142 54 0 09 Jun 2022
BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification Shuang Ge Kehong Yuan Maokun Han Desheng Sun Huabin Zhang Qiongyu Ye UQCV 24 0 0 09 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang Henry Lam Haofeng Zhang PER UD 61 5 0 09 Jun 2022
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression Patryk Wielopolski Maciej Ziȩba UQCV 74 1 0 08 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Jingyu Sun OODD 54 5 0 08 Jun 2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays Yu Cai Hao Chen Xin Yang Yu Zhou Wuhan 66 17 0 08 Jun 2022
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks B. Staber Sébastien Da Veiga UQCV BDL 78 3 0 08 Jun 2022
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping Vikranth Dwaracherla Zheng Wen Ian Osband Xiuyuan Lu S. Asghari Benjamin Van Roy UQCV 96 20 0 08 Jun 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge M. Malka Erez Farhan Hai Morgenstern Nir Shlezinger FedML 74 13 0 07 Jun 2022
Robust Calibration with Multi-domain Temperature Scaling Yaodong Yu Stephen Bates Yi-An Ma Michael I. Jordan OOD UQCV 84 36 0 06 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 113 142 0 06 Jun 2022
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 65 6 0 06 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 79 5 0 05 Jun 2022
Quantifying and Using System Uncertainty in UAV Navigation F. Arnez A. Radermacher H. Espinoza BDL UQCV 65 4 0 04 Jun 2022
Uncertainty Estimation in Machine Learning V. Arkov 55 4 0 03 Jun 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 85 26 0 03 Jun 2022
Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu Dimitris Samaras Chao Chen 94 21 0 03 Jun 2022
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning David Brandfonbrener Rémi Tachet des Combes Romain Laroche OffRL 74 5 0 02 Jun 2022
Excess risk analysis for epistemic uncertainty with application to variational inference Futoshi Futami Tomoharu Iwata N. Ueda Issei Sato Masashi Sugiyama UQCV 112 1 0 02 Jun 2022