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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
Data Cleaning and Machine Learning: A Systematic Literature Review Pierre-Olivier Coté Amin Nikanjam Nafisa Ahmed D. Humeniuk Foutse Khomh 95 31 0 03 Oct 2023
Pool-Based Active Learning with Proper Topological Regions Lies Hadjadj Emilie Devijver Rémi Molinier Massih-Reza Amini 45 0 0 02 Oct 2023
Fusing Models with Complementary Expertise Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing Mikhail Yurochkin FedML MoMe 99 33 0 02 Oct 2023
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola Barbara Caputo Marco Ciccone FedML 86 7 0 02 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 75 0 0 02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 66 0 0 02 Oct 2023
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks Sinjini Banerjee Reilly Cannon Tim Marrinan Tony Chiang Anand D. Sarwate OOD 71 0 0 01 Oct 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation Wen Wu Jiajun He Chuxu Zhang P. Woodland 60 1 0 30 Sep 2023
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit Sven Lämmle Can Bogoclu K. Cremanns D. Roos 77 5 0 29 Sep 2023
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation Zhuoran Yu Manchen Wang Yanbei Chen Paolo Favaro Davide Modolo 3DH 62 1 0 29 Sep 2023
LoRA ensembles for large language model fine-tuning Xi Wang Laurence Aitchison Maja Rudolph UQCV 113 39 0 29 Sep 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval Hao Li Marie-Jeanne Lesot Lianli Gao Xiaosu Zhu Christophe Marsala EDL 88 15 0 29 Sep 2023
Multi-Resolution Active Learning of Fourier Neural Operators Shibo Li Xin Yu Wei W. Xing Mike Kirby Akil Narayan Shandian Zhe AI4CE 115 8 0 29 Sep 2023
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines Leonhard F. Feiner Fernando Navarro Kerstin Hammernik Paul Hager Wenqi Huang Rafael Azevedo R. Braren Georgios Kaissis MedIm 53 3 0 28 Sep 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 105 5 0 28 Sep 2023
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation Songlin Wei JIazhao Zhang Yang Wang Ruben Verborgh Hao Su He Wang AI4CE 72 3 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 114 20 0 28 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 74 4 0 27 Sep 2023
Uncertainty Quantification via Neural Posterior Principal Components E. Nehme Omer Yair T. Michaeli UQCV 85 14 0 27 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 89 5 0 27 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 143 7 0 26 Sep 2023
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks Nick Pepper George De Ath Marc Thomas Richard Everson T. Dodwell 60 0 0 26 Sep 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 81 2 0 26 Sep 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 139 9 0 25 Sep 2023
Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers Aryaman Gupta Kaustav Chakraborty Somil Bansal 86 6 0 23 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 93 63 0 23 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications John S. Schreck D. Gagne Charlie Becker William E. Chapman K. Elmore ... Vanessa M. Pryzbylo Jacob T. Radford B. Saavedra Justin Willson Christopher D. Wirz BDL UD OOD UQCV EDL 37 9 0 22 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 51 10 0 22 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition Haoxuan Qu Xiaofei Hui Yujun Cai Jun Liu 137 11 0 22 Sep 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang Hang Yu Junqiao Zhao Di Zhang Chang Huang Hongtu Zhou Xiao Zhang Chen Ye 94 10 0 22 Sep 2023
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction Ahbishek Srinivasan J. C. Andresen Anders Holst 25 2 0 21 Sep 2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning Yitian Shi Philipp Schillinger Miroslav Gabriel Alexander Kuss Zohar Feldman Hanna Ziesche Ngo Anh Vien OffRL OnRL 61 4 0 21 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 114 5 0 21 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time Isak Meding Alexander Bodin Adam Tonderski Joakim Johnander Christoffer Petersson Lennart Svensson OOD UQCV 48 1 0 20 Sep 2023
PAGER: A Framework for Failure Analysis of Deep Regression Models Jayaraman J. Thiagarajan V. Narayanaswamy Puja Trivedi Rushil Anirudh 65 0 0 20 Sep 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 69 7 0 19 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 102 3 0 19 Sep 2023
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes Qasim M. K. Siddiqui Sebastian Starke Peter Steinbach UQCV 111 0 0 19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 76 5 0 19 Sep 2023
Multi-fidelity climate model parameterization for better generalization and extrapolation Mohamed Aziz Bhouri Liran Peng Michael S. Pritchard Pierre Gentine AI4CE 104 4 0 19 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 220 11 0 15 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 68 3 0 14 Sep 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 116 28 0 14 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 81 5 0 14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 76 0 0 13 Sep 2023
Physics-informed Bayesian inference of external potentials in classical density-functional theory Antonio Malpica-Morales P. Yatsyshin M. Durán-Olivencia S. Kalliadasis 27 13 0 13 Sep 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 96 6 0 13 Sep 2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation Ling Huang S. Ruan P. Decazes Thierry Denoeux EDL MedIm 81 1 0 12 Sep 2023
Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning Marin Vlastelica Sebastian Blaes Cristina Pinneri Georg Martius 62 1 0 11 Sep 2023
Towards generalisable and calibrated synthetic speech detection with self-supervised representations Octavian Pascu Adriana Stan Dan Oneaţă Elisabeta Oneata H. Cucu SSL 93 5 0 11 Sep 2023