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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
Benchmarking Large Language Model Volatility Boyang Yu 33 4 0 26 Nov 2023
High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 Nando Metzger Rodrigo Caye Daudt D. Tuia Konrad Schindler 122 7 0 23 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 197 2 0 23 Nov 2023
LM-Cocktail: Resilient Tuning of Language Models via Model Merging Shitao Xiao Zheng Liu Peitian Zhang Xingrun Xing MoMe KELM 158 28 0 22 Nov 2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams Anton Winter Nicolas Jourdan Tristan Wirth Volker Knauthe Arjan Kuijper 43 1 0 22 Nov 2023
Applications of Spiking Neural Networks in Visual Place Recognition S. Hussaini Michael Milford Tobias Fischer 145 7 0 22 Nov 2023
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 57 0 0 21 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 89 0 0 21 Nov 2023
Hierarchical Meta-learning-based Adaptive Controller Fengze Xie Guanya Shi Michael O'Connell Yisong Yue Soon-Jo Chung 71 4 0 21 Nov 2023
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion Ivo M. Baltruschat Parvaneh Janbakhshi Melanie Dohmen Matthias Lenga MedIm 86 2 0 20 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance Gundeep Arora S. Merugu Anoop Saladi R. Rastogi 71 1 0 20 Nov 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 95 14 0 19 Nov 2023
Estimating Uncertainty in Landslide Segmentation Models S. Nagendra Chaopeng Shen Daniel Kifer UQCV 50 4 0 18 Nov 2023
An Empirical Bayes Framework for Open-Domain Dialogue Generation Jing Yang Lee Kong Aik Lee Woon-Seng Gan BDL 62 1 0 18 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 63 1 0 16 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 67 10 0 16 Nov 2023
Neural machine translation for automated feedback on children's early-stage writing Jonas Vestergaard Jensen Mikkel Jordahn Michael Riis Andersen 79 0 0 15 Nov 2023
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science S. Wagle Sai Munikoti Anurag Acharya Sara Smith Sameera Horawalavithana 28 5 0 15 Nov 2023
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset Muthukumaran Ramasubramanian I. Gurung Shubhankar Gahlot Ronny Hansch Andrew L. Molthan M. Maskey 29 0 0 15 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 90 0 0 15 Nov 2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation Nataliia Molchanova Vatsal Raina A. Malinin Francesco La Rosa Adrien Depeursinge Mark Gales Cristina Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 65 4 0 15 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 110 65 0 15 Nov 2023
Predicting generalization performance with correctness discriminators Yuekun Yao Alexander Koller 115 1 0 15 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 97 2 0 15 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 85 12 0 14 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 150 83 0 14 Nov 2023
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process Deepak Akhare Zeping Chen R. Gulotty Tengfei Luo Jian-Xun Wang AI4CE 68 6 0 13 Nov 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 107 6 0 12 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 96 4 0 11 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 89 0 0 11 Nov 2023
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images Yinsong Xu Jiaqi Tang Aidong Men Qingchao Chen VLM MedIm 90 7 0 10 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 97 36 0 10 Nov 2023
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty Rémi Marsal F. Chabot Angélique Loesch William Grolleau H. Sahbi MDE UQCV 90 8 0 10 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation Heejoon Koo 88 0 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 71 4 0 10 Nov 2023
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization Farhan N. Damani David H. Brookes Theodore Sternlieb Cameron Webster Stephen Malina Rishi Jajoo Kathy Lin Sam Sinai OffRL 94 3 0 09 Nov 2023
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng ... Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin Ting Liu LRM HILM 145 939 0 09 Nov 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali ObjD 99 8 0 08 Nov 2023
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham Piotr Teterwak Soren Nelson Bryan A. Plummer 91 4 0 07 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 92 0 0 07 Nov 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 92 9 0 06 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 70 8 0 05 Nov 2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks Longze Li Jiang Chang Aleksandar Vakanski Yachun Wang Tiankai Yao Min Xian AI4CE 66 22 0 04 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities Wenchong He Zhe Jiang 110 1 0 04 Nov 2023
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields Jianxiong Shen Ruijie Ren Adria Ruiz Francesc Moreno-Noguer 103 10 0 03 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 128 39 0 03 Nov 2023
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts Huang Huang Satvik Sharma Antonio Loquercio Anastasios Nikolas Angelopoulos Kenneth Y. Goldberg Jitendra Malik 108 6 0 02 Nov 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis Victor Letzelter Mathieu Fontaine Mickaël Chen Patrick Pérez S. Essid Ga¨el Richard 55 8 0 02 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 157 1 0 02 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 67 1 0 01 Nov 2023