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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
Faithful Heteroscedastic Regression with Neural Networks Andrew Stirn H. Wessels Megan D. Schertzer L. Pereira Neville E. Sanjana David A. Knowles UQCV 114 18 0 18 Dec 2022
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent Richard Archibald F. Bao Yanzhao Cao Hui‐Jie Sun 99 2 0 17 Dec 2022
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig Hampus Linander BDL UQCV 120 5 0 15 Dec 2022
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls Stephan Thaler Gregor Doehner Julija Zavadlav 109 21 0 15 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 50 34 0 14 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 76 14 0 14 Dec 2022
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 76 11 0 14 Dec 2022
Deep Negative Correlation Classification Le Zhang Qibin Hou Yun-Hai Liu Jiawang Bian Xun Xu Qiufeng Wang Ce Zhu 60 1 0 14 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 93 23 0 13 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images Pei Liu Luping Ji Feng Ye Bo Fu 76 29 0 13 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 81 1 0 13 Dec 2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection Zhenyu Wu Lin Wang Wen Wang Qing Xia Chenglizhao Chen Aimin Hao Shuo Li AAML 108 5 0 13 Dec 2022
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation Giorgio Morales John W. Sheppard 79 5 0 13 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang Lei Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 66 4 0 13 Dec 2022
Efficient Bayesian Uncertainty Estimation for nnU-Net Yidong Zhao Changchun Yang Artur M. Schweidtmann Qian Tao UQCV BDL 62 22 0 12 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 85 2 0 12 Dec 2022
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning Hao Zheng Mirella Lapata OOD CoGe DRL 64 5 0 12 Dec 2022
Client Selection for Federated Bayesian Learning Jiarong Yang Yuan Liu Rahif Kassab FedML 75 12 0 11 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 63 1 0 09 Dec 2022
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection Shivin Dass Karl Pertsch Hejia Zhang Youngwoon Lee Joseph J. Lim Stefanos Nikolaidis 91 15 0 09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 76 1 0 08 Dec 2022
Copula Conformal Prediction for Multi-step Time Series Forecasting S. Sun Rose Yu AI4TS 197 22 0 06 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 90 14 0 06 Dec 2022
Improving Zero-shot Generalization and Robustness of Multi-modal Models Yunhao Ge Jie Jessie Ren Andrew Gallagher Yuxiao Wang Ming-Hsuan Yang Hartwig Adam Laurent Itti Balaji Lakshminarayanan Jiaping Zhao VLM 111 37 0 04 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 84 17 0 03 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 69 3 0 01 Dec 2022
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 66 2 0 01 Dec 2022
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images Meng Wang Kai-An Yu Chun-Mei Feng K. Zou Yanyu Xu Qingquan Meng Rick Siow Mong Goh Yong Liu Huazhu Fu MedIm 93 3 0 01 Dec 2022
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations Bin Shan Ye Li Sheng-Jun Huang PINN 82 3 0 30 Nov 2022
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong Shen Li Wenjie Feng Ailin Deng Jihai Zhang Bryan Hooi 62 7 0 29 Nov 2022
The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler M. Ostaszewski Michal Bortkiewicz M. Żarski Maciej Wołczyk Jack Parker-Holder Stephen J. Roberts Piotr Milo's KELM OffRL CLL 85 8 0 29 Nov 2022
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models Albert Xu Xiang Ren Robin Jia OODD 72 2 0 28 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 103 38 0 28 Nov 2022
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems Gilad Kutiel Regev Cohen Michael Elad Daniel Freedman UQCV 106 5 0 28 Nov 2022
Looking at the posterior: accuracy and uncertainty of neural-network predictions Hampus Linander Oleksandr Balabanov Henry Yang Bernhard Mehlig UQCV UD BDL 80 2 0 26 Nov 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 125 25 0 26 Nov 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 95 2 0 26 Nov 2022
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu Choubo Ding Yu Tian Guansong Pang Vasileios Belagiannis Ian Reid G. Carneiro OODD 112 40 0 26 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal Mısra Yavuz João F. Henriques Fatma Guney UQCV 99 47 0 25 Nov 2022
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds A. Salunkhe G. Georgalis A. Patra V. Chandola 48 1 0 25 Nov 2022
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles K. Y. Chee M. Hsieh Nikolai Matni 83 3 0 24 Nov 2022
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 46 4 0 24 Nov 2022
Estimating Conditional Distributions with Neural Networks using R package deeptrafo Lucas Kook Philipp F. M. Baumann Oliver Durr Beate Sick David Rügamer 66 6 0 24 Nov 2022
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Tuan Truong Qi Lei Nhat Ho Dinh Q. Phung Trung Le 211 11 0 24 Nov 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 57 54 0 23 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 103 3 0 23 Nov 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 90 1 0 22 Nov 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings Nikita Durasov Nik Dorndorf Pascal Fua VLM 67 5 0 21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 91 10 0 21 Nov 2022
Non-reversible Parallel Tempering for Deep Posterior Approximation Wei Deng Qian Zhang Qi Feng F. Liang Guang Lin 76 4 0 20 Nov 2022