v1v2v3 (latest)

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
Context-faithful Prompting for Large Language Models Wenxuan Zhou Sheng Zhang Hoifung Poon Muhao Chen KELM 61 65 0 20 Mar 2023
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition Xiaoyu Yang Qiujia Li Chuxu Zhang P. Woodland 87 7 0 20 Mar 2023
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation Yang Chen Zhenyu Yang Jingtong Zhao J. Adamson Y. Sheng F. Yin Cong Wang 69 3 0 19 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 81 138 0 18 Mar 2023
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation Kai Ren K. Zou Xianjie Liu Yidi Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu EDL 69 14 0 17 Mar 2023
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation S. Landgraf Kira Wursthorn Markus Hillemann Markus Ulrich UQCV 57 11 0 17 Mar 2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions K. Zou Tian Lin Xuedong Yuan Haoyu Chen Xiaojing Shen Meng Wang Huazhu Fu 63 3 0 17 Mar 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James Jianqiao Yu Ziyi Wang AI4TS 94 7 0 16 Mar 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 69 1 0 15 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 113 12 0 14 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 153 0 0 14 Mar 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 91 11 0 14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 63 7 0 14 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 85 7 0 13 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 91 1 0 10 Mar 2023
Uncertainty quantification in neural network classifiers -- a local linear approach Magnus Malmström Isaac Skog Daniel Axehill Fredrik K. Gustafsson UQCV 62 1 0 10 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 98 7 0 10 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift Yu-Hui Zou Weijian Deng Liang Zheng OODD 32 2 0 09 Mar 2023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu M. Hartmann Bernardo Williams Arto Klami BDL 90 6 0 09 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 87 2 0 09 Mar 2023
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles Muzi Peng Jiangwei Wang Dongjin Song Fei Miao Lili Su 72 5 0 08 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection Han Yang William R. Gebhardt Alexander Ororbia Travis J. Desell OODD 43 0 0 07 Mar 2023
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks Qingyi Wang Shenhao Wang Dingyi Zhuang Haris N. Koutsopoulos Jinhua Zhao AI4TS 43 22 0 07 Mar 2023
Exploration via Epistemic Value Estimation Simon Schmitt John Shawe-Taylor Hado van Hasselt OffRL 43 3 0 07 Mar 2023
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning Ildus Sadrtdinov Dmitrii Pozdeev Dmitry Vetrov E. Lobacheva 102 6 0 06 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 101 15 0 06 Mar 2023
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning Monish R. Nallapareddy Kshitij Sirohi Paulo L. J. Drews-Jr Wolfram Burgard Chih-Hong Cheng Abhinav Valada EDL 76 8 0 06 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 97 108 0 06 Mar 2023
Expectation consistency for calibration of neural networks Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 105 7 0 05 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh Seung-Jun Han Shivchander Sudalairaj Rumen Dangovski Kai Xu F. Wenzel Marin Soljacic Akash Srivastava UQCV 92 1 0 04 Mar 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Hee Suk Yoon Joshua Tian Jin Tee Eunseop Yoon Sunjae Yoon G. Kim Yingzhen Li Changdong Yoo UQCV MQ 64 11 0 04 Mar 2023
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen Yingzhen Li UQCV 123 12 0 04 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning Danruo Deng Guangyong Chen Yang Yu Fu-Lun Liu Pheng-Ann Heng EDL UQCV FedML 132 47 0 03 Mar 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He Wang Bin Chen 88 12 0 03 Mar 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification Dennis L. Wei Haoze Wu Min Wu Pin-Yu Chen Clark W. Barrett E. Farchi UQCV AAML 52 9 0 03 Mar 2023
Safe AI for health and beyond -- Monitoring to transform a health service Mahed Abroshan Michael C. Burkhart Oscar Giles Sam F. Greenbury Zoe Kourtzi Jack Roberts M. Schaar Jannetta S. Steyn Alan Wilson M. Yong 52 1 0 02 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 98 12 0 02 Mar 2023
Multi-Head Multi-Loss Model Calibration Adrian Galdran Johan Verjans G. Carneiro M. A. G. Ballester UQCV 73 7 0 02 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 83 10 0 02 Mar 2023
Transmission-Guided Bayesian Generative Model for Smoke Segmentation Siyuan Yan Jing Zhang Nick Barnes MedIm 43 18 0 02 Mar 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling Wei-Yin Ko Daniel D'souza Karina Nguyen Randall Balestriero Sara Hooker FedML 82 11 0 01 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 118 20 0 28 Feb 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 72 2 0 28 Feb 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 111 7 0 27 Feb 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 122 8 0 27 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 89 29 0 27 Feb 2023
Online Black-Box Confidence Estimation of Deep Neural Networks Fabian Woitschek G. Schneider UQCV 63 1 0 27 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 193 24 0 26 Feb 2023
Deep active learning for nonlinear system identification E. Lundby Adil Rasheed I. Halvorsen D. Reinhardt S. Gros J. Gravdahl 59 2 0 24 Feb 2023
Retrospective Uncertainties for Deep Models using Vine Copulas Natavsa Tagasovska Firat Ozdemir Axel Brando UQCV OOD BDL 84 3 0 24 Feb 2023