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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"

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Title
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound Mahdi Gilany P. Wilson A. Jamzad Fahimeh Fooladgar Minh-Son To Brian Wodlinger Purang Abolmaesumi P. Mousavi 37 11 0 21 Jul 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 69 18 0 20 Jul 2022
Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance Shervin Ardeshir Navid Azizan SSL UQCV 109 9 0 19 Jul 2022
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge Hidetoshi Kawaguchi Yuichi Nakatani S. Okada 45 3 0 19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai BDL EDL UQCV 72 2 0 19 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 79 2 0 19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 104 39 0 18 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 77 1 0 18 Jul 2022
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration Bohua Peng Mobarakol Islam Mei Tu UQCV 57 9 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 78 3 0 17 Jul 2022
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection Guoxuan Xia C. Bouganis UQCV 78 14 0 15 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 68 29 0 15 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 144 126 0 15 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 67 28 0 14 Jul 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 105 23 0 14 Jul 2022
Estimating Classification Confidence Using Kernel Densities P. Salamon David Salamon V. A. Cantu Michelle An Tyler Perry Robert A. Edwards A. Segall 62 0 0 13 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 74 35 0 13 Jul 2022
MRF-UNets: Searching UNet with Markov Random Fields Zifu Wang Matthew B. Blaschko 68 6 0 13 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 65 33 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 88 44 0 12 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 87 4 0 11 Jul 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design Hengrui Zhang WeiWayneChen Akshay Iyer D. Apley Wei Chen AI4CE 89 13 0 11 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 91 3 0 09 Jul 2022
Out of Distribution Detection via Neural Network Anchoring Rushil Anirudh Jayaraman J. Thiagarajan UQCV 127 5 0 08 Jul 2022
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving Chenran Li Tuan-Duong Trinh Letian Wang Changliu Liu Masayoshi Tomizuka Wei Zhan 69 23 0 08 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 70 55 0 06 Jul 2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification Jaeik Jeon Yeonggul Jang Youngtaek Hong H. Shim Sekeun Kim 41 1 0 05 Jul 2022
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images A. De Biase N. Sijtsema L. V. van Dijk J. Langendijk P. V. van Ooijen 75 20 0 04 Jul 2022
Open-world Semantic Segmentation for LIDAR Point Clouds Jun Cen Peng Yun Shiwei Zhang Junhao Cai Di Luan M. Y. Wang Meilin Liu Mingqian Tang 3DPC 77 30 0 04 Jul 2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach Vishnu Raj Tianyu Cui Markus Heinonen Pekka Marttinen UQCV BDL 42 1 0 04 Jul 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 107 12 0 02 Jul 2022
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models Yizhe Zhang Suraj Mishra Peixian Liang Hao Zheng Benlin Liu 62 4 0 01 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 64 30 0 30 Jun 2022
Laplacian Autoencoders for Learning Stochastic Representations M. Miani Frederik Warburg Pablo Moreno-Muñoz Nicke Skafte Detlefsen Søren Hauberg UQCV BDL SSL 79 11 0 30 Jun 2022
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation G. Nam Hyungi Lee Byeongho Heo Juho Lee UQCV FedML 62 7 0 30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 104 37 0 29 Jun 2022
Low Emission Building Control with Zero-Shot Reinforcement Learning Scott Jeen Alessandro Abate Jonathan M. Cullen AI4CE 40 6 0 28 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 91 4 0 28 Jun 2022
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries Meghna Gummadi Cassandra Kent Jorge Armando Mendez Mendez Eric Eaton CLL 83 11 0 28 Jun 2022
Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models M. Yaseen Xu Wu AI4CE 68 15 0 27 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 102 0 0 27 Jun 2022
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer Diogo Leitao Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 74 21 0 27 Jun 2022
Uncertainty Calibration for Deep Audio Classifiers Tong Ye Shijing Si Jianzong Wang Ning Cheng Jing Xiao UQCV 44 0 0 27 Jun 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 92 3 0 26 Jun 2022
Robustness to corruption in pre-trained Bayesian neural networks Xi Wang Laurence Aitchison OOD UQCV 69 5 0 24 Jun 2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds Patrick Feeney Sarah Schneider Panagiotis Lymperopoulos Liping Liu matthias. scheutz Michael C. Hughes Dept. of Computer Science 74 6 0 23 Jun 2022
EFFGAN: Ensembles of fine-tuned federated GANs Ebba Ekblom Edvin Listo Zec Olof Mogren FedML 88 8 0 23 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 61 0 0 23 Jun 2022
Modular Conformal Calibration Charles Marx Shengjia Zhao Willie Neiswanger Stefano Ermon 66 16 0 23 Jun 2022