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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
Energy-Based Generative Cooperative Saliency Prediction Jing Zhang Jianwen Xie Zilong Zheng Nick Barnes 96 12 0 25 Jun 2021
Exploring Depth Contribution for Camouflaged Object Detection Mochu Xiang Jing Zhang Yun-Qiu Lv Aixuan Li Yiran Zhong Yuchao Dai 69 14 0 24 Jun 2021
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection Xinyi Wang Lang Tong BDL AI4TS 48 12 0 23 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 60 8 0 22 Jun 2021
Dangers of Bayesian Model Averaging under Covariate Shift Pavel Izmailov Patrick K. Nicholson Sanae Lotfi A. Wilson OOD UQCV BDL 151 46 0 22 Jun 2021
MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI Taro Langner A. Mora Robin Strand H. Ahlström J. Kullberg 42 1 0 22 Jun 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 129 101 0 22 Jun 2021
Confidence-Aware Learning for Camouflaged Object Detection Jiawei Liu Jing Zhang Nick Barnes 69 13 0 22 Jun 2021
Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift Benedikt T. Boenninghoff D. Kolossa R. M. Nickel 32 6 0 21 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 68 201 0 21 Jun 2021
On Stein Variational Neural Network Ensembles Francesco DÁngelo Vincent Fortuin F. Wenzel UQCV BDL 92 27 0 20 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 95 16 0 18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng Kui Jia Lei Zhang CLL 94 10 0 18 Jun 2021
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty Lin Wang Lie Ju Xin Wang Wanji He Donghao Zhang ... Zhiwen Yang Xuan-Liang Yao Xin Zhao Xiufen Ye Z. Ge 79 3 0 18 Jun 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 93 161 0 17 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 88 3 0 17 Jun 2021
Structured DropConnect for Uncertainty Inference in Image Classification Wenqing Zheng Jiyang Xie Weidong Liu Zhanyu Ma UQCV BDL 23 1 0 16 Jun 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji Razvan Pascanu Devon Hjelm Balaji Lakshminarayanan Andrea Vedaldi 70 8 0 15 Jun 2021
Kernel Identification Through Transformers F. Simpson Ian Davies V. Lalchand A. Vullo N. Durrande C. Rasmussen 63 11 0 15 Jun 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 76 6 0 15 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 112 369 0 15 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 86 8 0 15 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 90 84 0 14 Jun 2021
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction Yi Lin Yanfei Liu Hao-tao Chen Xin Yang Kai Ma Yefeng Zheng Kwang-Ting Cheng 3DV 71 6 0 12 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 79 4 0 10 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai Song Mei Huan Wang Caiming Xiong UQCV 56 13 0 10 Jun 2021
Adaptive machine learning for protein engineering B. Hie Kevin Kaichuang Yang 92 81 0 10 Jun 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks Maciej Wołczyk Bartosz Wójcik Klaudia Bałazy Igor T. Podolak Jacek Tabor Marek Śmieja Tomasz Trzciñski AI4CE 76 51 0 09 Jun 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 89 17 0 09 Jun 2021
Understanding Softmax Confidence and Uncertainty Tim Pearce Alexandra Brintrup Jun Zhu UQCV 156 95 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 101 6 0 09 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston 84 20 0 08 Jun 2021
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations? Thierry Deruyttere Victor Milewski Marie-Francine Moens 64 15 0 08 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 130 96 0 07 Jun 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS BDL 113 20 0 07 Jun 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift Tiago Salvador Vikram S. Voleti Alexander Iannantuono Adam M. Oberman OOD UQCV 70 1 0 07 Jun 2021
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? Laurens Sluijterman Eric Cator Tom Heskes UQCV 75 24 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 105 342 0 06 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 84 47 0 05 Jun 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering Shujian Zhang Chengyue Gong Eunsol Choi UQLM 105 59 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 33 2 0 02 Jun 2021
Evidential Turing Processes M. Kandemir Abdullah Akgul Manuel Haussmann Gözde B. Ünal EDL UQCV BDL 70 10 0 02 Jun 2021
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning Benoit Dufumier Pietro Gori Ilaria Battaglia J. Victor Antoine Grigis Edouard Duchesnay 3DV 78 17 0 02 Jun 2021
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals Jirí Navrátil Benjamin Elder Matthew Arnold S. Ghosh P. Sattigeri 34 5 0 01 Jun 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning Zhiliang Wu Yinchong Yang Jindong Gu Volker Tresp UQCV MedIm 48 9 0 01 Jun 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra Kanil Patel William H. Beluch K. Rambach Adriana-Eliza Cozma Michael Pfeiffer Bin Yang EDL UQCV 73 5 0 01 Jun 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Zhen Lin Shubhendu Trivedi Jimeng Sun 252 22 0 01 Jun 2021
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift Sebastian Cygert Bartlomiej Wróblewski Karol Wozniak Radoslaw Slowiñski A. Czyżewski UQCV OOD 65 7 0 31 May 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights H. Ritter Martin Kukla Chen Zhang Yingzhen Li UQCV BDL 90 17 0 30 May 2021