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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
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 68 0 0 05 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 80 0 0 05 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 79 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 188 2 0 05 Aug 2024
Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation Sai Prasanna Daniel Honerkamp Kshitij Sirohi Tim Welschehold Wolfram Burgard Abhinav Valada 140 1 0 05 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 133 0 0 05 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 95 1 0 04 Aug 2024
MedUHIP: Towards Human-In-the-Loop Medical Segmentation Jiayuan Zhu A. Billard 62 0 0 03 Aug 2024
Adaptive Planning with Generative Models under Uncertainty Pascal Jutras-Dubé Ruqi Zhang Aniket Bera 79 2 0 02 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 94 1 0 02 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 126 3 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 123 1 0 31 Jul 2024
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net Rohini Banerjee Cecilia G. Morales Artur Dubrawski 72 1 0 31 Jul 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network Tianyu Xiong Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen UQCV 131 2 0 26 Jul 2024
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs Jingpeng Xie Shiyu Tan Yuanlei Wang Yizhen Lao Yifei Xue Yizhen Lao 147 0 0 26 Jul 2024
Gradient-based inference of abstract task representations for generalization in neural networks Ali Hummos Felipe del-Rio Brabeeba Mien Wang Julio Hurtado Cristian B. Calderon G. Yang 71 4 0 24 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 108 5 0 23 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 135 0 0 23 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 88 0 0 23 Jul 2024
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System Xin Jiang Kaiqiang Wang Yinlong Wang Fengchang Lv Taiyang Peng Shuai Yang Xianteng Wu Pengye Zhang Shuo Yuan Yifan Zeng 88 0 0 22 Jul 2024
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models Hannah Rosa Friesacher Ola Engkvist Lewis H. Mervin Yves Moreau Adam Arany 78 0 0 19 Jul 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology? Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava OODD 107 3 0 18 Jul 2024
Conformal Performance Range Prediction for Segmentation Output Quality Control Anna M. Wundram Paul Fischer Michael Muehlebach Lisa M. Koch Christian F. Baumgartner UQCV 117 5 0 18 Jul 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance Haiquan Lu Xiaotian Liu Yefan Zhou Qunli Li Kurt Keutzer Michael W. Mahoney Yujun Yan Huanrui Yang Yaoqing Yang 68 1 0 17 Jul 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection Mahdi Gilany Mohamed Harmanani P. Wilson Minh-Son To A. Jamzad Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi OOD 70 0 0 17 Jul 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation Luís Almeida Ines Dutra Francesco Renna UQCV 88 0 0 17 Jul 2024
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework Mayur Patil Qadeer Ahmed Shawn Midlam-Mohler AI4TS 80 0 0 17 Jul 2024
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss Mohammed Fellaji Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro UQCV 98 1 0 16 Jul 2024
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification Jingyi Shen Yuhan Duan Han-Wei Shen AI4CE 62 1 0 16 Jul 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 76 0 0 16 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 100 2 0 16 Jul 2024
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models Qingcheng Zeng Mingyu Jin Qinkai Yu Zhenting Wang Wenyue Hua ... Felix Juefei Xu Kaize Ding Fan Yang Ruixiang Tang Yongfeng Zhang AAML 111 11 0 15 Jul 2024
Expert-aware uncertainty estimation for quality control of neural-based blood typing E.E. Zaychenkova Dmitrii Iarchuk S.A. Korchagin Alexey Zaitsev Egor Ershov 69 0 0 15 Jul 2024
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design Natavsa Tagasovska Ji Won Park Matthieu Kirchmeyer Nathan C. Frey Andrew Watkins ... Arian R. Jamasb Edith Lee Tyler Bryson Stephen Ra Kyunghyun Cho OOD 137 6 0 15 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 68 1 0 15 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 96 32 0 11 Jul 2024
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy Paul Fischer Hannah Willms Moritz Schneider Daniela Thorwarth Michael Muehlebach Christian F. Baumgartner 55 0 0 11 Jul 2024
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 96 2 0 10 Jul 2024
Unmasking Trees for Tabular Data Calvin McCarter 90 3 0 08 Jul 2024
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network Zehuan Zhang Matej Genci Hongxiang Fan A. Wetscherek Wayne Luk 73 0 0 07 Jul 2024
On the power of data augmentation for head pose estimation Michael Welter CVBM 86 1 0 07 Jul 2024
Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation Yifei Zong D. Barajas-Solano A. Tartakovsky 89 1 0 05 Jul 2024
Conformal Prediction for Causal Effects of Continuous Treatments Maresa Schröder Dennis Frauen Jonas Schweisthal Konstantin Heß Valentyn Melnychuk Stefan Feuerriegel 168 9 0 03 Jul 2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 85 0 0 02 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B Aditya Prakash AI4TS 81 1 0 02 Jul 2024
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method Hilarie Sit Brendan Keith Karianne Bergen 87 0 0 02 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 104 3 0 02 Jul 2024
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks Mohammed Fellaji Frédéric Pennerath 85 5 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 145 0 0 02 Jul 2024
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving Ran Tian Boyi Li Xinshuo Weng Yuxiao Chen Edward Schmerling Yue Wang Boris Ivanovic Marco Pavone 135 25 0 01 Jul 2024