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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
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks Po-Nien Kung Fan Yin Di Wu Kai-Wei Chang Nanyun Peng 151 43 0 01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 176 6 0 01 Nov 2023
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows Victor J. Leon Noah Ford Honest Mrema Jeffrey Gilbert Alexander New UQCV AI4CE 43 0 0 31 Oct 2023
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? Guopeng Li V. Knoop J. W. C. J. V. Lint 67 1 0 31 Oct 2023
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients Margerie Huet-Dastarac Dan Nguyen Steve B. Jiang John A. Lee A. M. Barragán-Montero OOD UQCV 42 0 0 30 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 89 10 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 99 2 0 30 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 69 2 0 29 Oct 2023
Efficient IoT Inference via Context-Awareness Mohammad Mehdi Rastikerdar Jin Huang Shiwei Fang Hui Guan Deepak Ganesan 103 0 0 29 Oct 2023
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Mathieu Salzmann Alexandre Alahi 78 3 0 29 Oct 2023
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation Jaemin Na Jung-Woo Ha HyungJin Chang Dongyoon Han Wonjun Hwang 93 33 0 28 Oct 2023
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method Yukun Zhao Lingyong Yan Weiwei Sun Guoliang Xing Chong Meng Shuaiqiang Wang Zhicong Cheng Zhaochun Ren D. Yin 89 42 0 27 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 122 13 0 26 Oct 2023
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks Jiechen Chen Sangwoo Park Osvaldo Simeone 89 4 0 25 Oct 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 68 2 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 56 25 0 25 Oct 2023
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation V. SukeshAdiga Jose Dolz H. Lombaert UQCV 82 27 0 24 Oct 2023
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy C. T. Ye Jiashu Han Kunzan Liu Anastasios Nikolas Angelopoulos Linda G. Griffith Kristina Monakhova Sixian You 81 4 0 24 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie Yang OODD 112 3 0 22 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 98 0 0 19 Oct 2023
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas Griffiths 158 93 0 18 Oct 2023
Panoptic Out-of-Distribution Segmentation Rohit Mohan Kiran Kumaraswamy Juana Valeria Hurtado Kürsat Petek Abhinav Valada 71 9 0 18 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 126 9 0 17 Oct 2023
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit Uri Stern Daniel Shwartz D. Weinshall 82 1 0 17 Oct 2023
Provable Probabilistic Imaging using Score-Based Generative Priors Yu Sun Zihui Wu Yifan Chen Berthy Feng Katherine Bouman DiffM 108 35 0 16 Oct 2023
Correcting model misspecification in physics-informed neural networks (PINNs) Zongren Zou Xuhui Meng George Karniadakis PINN 76 43 0 16 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 125 1 0 16 Oct 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective Simone Rossi Ankit Singh T. Hannagan 71 3 0 16 Oct 2023
Private Synthetic Data Meets Ensemble Learning Haoyuan Sun Navid Azizan Akash Srivastava Hao Wang SyDa 41 1 0 15 Oct 2023
Machine Learning for Urban Air Quality Analytics: A Survey Jindong Han Weijiao Zhang Hao Liu Hui Xiong AI4CE 114 12 0 14 Oct 2023
Uncertainty Quantification using Generative Approach Yunsheng Zhang UQCV BDL 33 0 0 13 Oct 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 81 8 0 12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 78 22 0 12 Oct 2023
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation Jiarong Wei Yancong Lin Holger Caesar 72 4 0 12 Oct 2023
PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction Chen Zhang Wanjuan Su Qingshan Xu Wenbing Tao 3DPC 3DV 77 0 0 12 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization Le Chen Weirong Chen Rui Wang Marc Pollefeys UQCV 84 10 0 10 Oct 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification Qianli Shen Wai Hoh Tang Zhun Deng Apostolos F. Psaros Kenji Kawaguchi 211 1 0 10 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 60 1 0 10 Oct 2023
Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making Maryam Kheirandish Shengfan Zhang D. Catanzaro V. Crudu UQCV 41 0 0 09 Oct 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions Jordan Lekeufack Anastasios Nikolas Angelopoulos Andrea V. Bajcsy Michael I. Jordan Jitendra Malik OffRL 220 32 0 09 Oct 2023
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models Sebastian G. Gruber Florian Buettner UQCV UD 76 1 0 09 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 99 27 0 09 Oct 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners Yun Luo Zhen Yang Fandong Meng Yingjie Li Fang Guo Qinglin Qi Jie Zhou Yue Zhang 101 2 0 09 Oct 2023
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations Lorenc Kapllani Long Teng Matthias Rottmann 42 1 0 05 Oct 2023
ACT-Net: Anchor-context Action Detection in Surgery Videos Luoying Hao Yan Hu Wenjun Lin Qun Wang Heng Li Huazhu Fu Jinming Duan Jiang-Dong Liu MedIm 93 3 0 05 Oct 2023
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves Jirí Navrátil Benjamin Elder Matthew Arnold Soumya Ghosh P. Sattigeri 47 0 0 04 Oct 2023
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 65 1 0 04 Oct 2023
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data Konstantinos Pitas Julyan Arbel BDL UQCV FedML 63 0 0 04 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 86 7 0 04 Oct 2023
Reward Model Ensembles Help Mitigate Overoptimization Thomas Coste Usman Anwar Robert Kirk David M. Krueger NoLa ALM 118 139 0 04 Oct 2023