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
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks Diksha Bhandari Jakiw Pidstrigach Sebastian Reich 83 1 0 09 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 77 5 0 08 Sep 2023
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes Youssef Shoeb Robin Shing Moon Chan Gesina Schwalbe Azarm Nowzard Fatma Guney Hanno Gottschalk 71 6 0 08 Sep 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli Cody Reading Silvia Sellán Alec Jacobson Andrea Tagliasacchi BDL UQCV 106 60 0 06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 88 8 0 06 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 60 1 0 06 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 76 1 0 05 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging Harry Anthony Konstantinos Kamnitsas 89 12 0 04 Sep 2023
Active Neural Mapping Zike Yan Haoxiang Yang H. Zha 104 23 0 30 Aug 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness Jiuhai Chen Jonas W. Mueller 135 71 0 30 Aug 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval Seong-Hoon Eom Namgyu Ho Jaehoon Oh Se-Young Yun CLIP VLM 75 0 0 29 Aug 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 97 0 0 29 Aug 2023
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amirhossein Vahidi Lisa Wimmer H. Gündüz Bernd Bischl Eyke Hüllermeier Mina Rezaei OOD UQCV 100 4 0 28 Aug 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks Souradeep Dutta Michele Caprio Vivian Lin Matthew Cleaveland Kuk Jin Jang I. Ruchkin O. Sokolsky Insup Lee OOD AAML 225 8 0 28 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 84 2 0 25 Aug 2023
Bayesian Low-rank Adaptation for Large Language Models Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 182 56 0 24 Aug 2023
POCO: 3D Pose and Shape Estimation with Confidence Sai Kumar Dwivedi Cordelia Schmid Hongwei Yi Michael J. Black Dimitrios Tzionas 3DH 67 17 0 24 Aug 2023
Single-shot Bayesian approximation for neural networks K. Brach Beate Sick Oliver Durr BDL UQCV 36 0 0 24 Aug 2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers T. Zoppi Andrea Ceccarelli A. Bondavalli UQCV 64 1 0 23 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 83 6 0 22 Aug 2023
CAME: Contrastive Automated Model Evaluation Ru Peng Qiuyang Duan Haobo Wang Jiachen Ma Yanbo Jiang Yongjun Tu Xiu Jiang Jiaqi Zhao ELM 81 5 0 22 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance J. Haas OODD 48 0 0 21 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 64 5 0 21 Aug 2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters Xinyu Liu Geoffrey Clark Joseph Campbell Yifan Zhou H. B. Amor 79 10 0 19 Aug 2023
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction Daniel Bethell Simos Gerasimou R. Calinescu 44 8 0 18 Aug 2023
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories Henrik Seckler J. Szwabiński Ralf Metzler 61 28 0 18 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 68 5 0 17 Aug 2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment Ji Zhang Xiao-Jun Wu Zhi-Qi Cheng Qin He Wei Li 76 5 0 16 Aug 2023
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks Xinyu Bai Wenjia Bai UQCV 45 0 0 16 Aug 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition Jialin Guo Zhenyu Wu Zhiqiang Zhan Yang Ji 44 0 0 16 Aug 2023
Endogenous Macrodynamics in Algorithmic Recourse Patrick Altmeyer Giovan Angela Aleksander Buszydlik Karol Dobiczek A. V. Deursen Cynthia C. S. Liem 67 7 0 16 Aug 2023
Using Artificial Populations to Study Psychological Phenomena in Neural Models Jesse Roberts Kyle Moore Drew Wilenzick Doug Fisher 60 6 0 15 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 74 6 0 15 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 62 2 0 14 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 70 1 0 14 Aug 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 72 2 0 14 Aug 2023
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation Parinaz Roshanzamir H. Rivaz Joshua Ahn Hamza Mirza Neda Naghdi Meagan Anstruther M. C. Battié M. Fortin Yiming Xiao 76 3 0 14 Aug 2023
Value-Distributional Model-Based Reinforcement Learning Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 68 4 0 12 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 91 1 0 11 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 77 4 0 11 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 66 1 0 11 Aug 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers Phillip Lippe Bastiaan S. Veeling P. Perdikaris Richard Turner Johannes Brandstetter DiffM AI4CE 136 96 0 10 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 81 6 0 07 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 58 5 0 07 Aug 2023
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection Shuang Ao Stefan Rueger Advaith Siddharthan 73 3 0 06 Aug 2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 65 9 0 06 Aug 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 53 6 0 04 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 65 0 0 04 Aug 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 103 11 0 03 Aug 2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis UQCV 125 6 0 03 Aug 2023