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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
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 59 12 0 29 Nov 2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data Guansong Lu Yueh-Cheng Liu Tung-I Chen Hung-Ting Su Tsung-Han Wu Winston H. Hsu UQCV 61 0 0 29 Nov 2021
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles Alexander Becker S. Russo Stefano Puliti Nico Lang Konrad Schindler Jan Dirk Wegner 75 45 0 25 Nov 2021
Robust Object Detection with Multi-input Multi-output Faster R-CNN Sebastian Cygert A. Czyżewski ObjD 32 2 0 25 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 77 25 0 25 Nov 2021
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 75 33 0 25 Nov 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection Yimeng Li Jana Kosecka UQCV 108 19 0 25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 122 490 0 24 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian Yuyuan Liu Guansong Pang Fengbei Liu Yuanhong Chen G. Carneiro 165 88 0 24 Nov 2021
A General Divergence Modeling Strategy for Salient Object Detection Xinyu Tian Jing Zhang Yuchao Dai 63 0 0 23 Nov 2021
Uncertainty estimation under model misspecification in neural network regression Maria R. Cervera Rafael Dätwyler Francesco DÁngelo Hamza Keurti Benjamin Grewe Christian Henning 64 6 0 23 Nov 2021
RIO: Rotation-equivariance supervised learning of robust inertial odometry Caifa Zhou Xiya Cao Dandan Zeng Yongliang Wang OOD SSL 68 23 0 23 Nov 2021
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation Xu Zheng Chong Fu Haoyu Xie Jialei Chen Xingwei Wang Chiu-Wing Sham OOD 69 38 0 23 Nov 2021
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations Antonio Pepe Jan Egger M. Codari M. Willemink Christina Schwarz-Gsaxner Jianning Li P. Roth G. Mistelbauer Dieter Schmalstieg D. Fleischmann 28 8 0 22 Nov 2021
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 123 27 0 22 Nov 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model Jing Zhang Yuchao Dai Mehrtash Harandi Yiran Zhong Nick Barnes Leonid Sigal UQCV 65 1 0 22 Nov 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 97 14 0 21 Nov 2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings Matias Valdenegro-Toro UQCV 54 2 0 18 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 165 163 0 18 Nov 2021
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach Jonas Schulz Rafael Poyiadzi Raúl Santos-Rodríguez 57 7 0 17 Nov 2021
Trustworthy Long-Tailed Classification Bolian Li Zongbo Han Haining Li Huazhu Fu Changqing Zhang EDL 64 73 0 17 Nov 2021
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One Shuwei Shao Ran Li Z. Pei Zhong Liu Weihai Chen Wentao Zhu Xingming Wu Baochang Zhang ViT MDE 46 13 0 16 Nov 2021
Selective Ensembles for Consistent Predictions Emily Black Klas Leino Matt Fredrikson 69 23 0 16 Nov 2021
Error Diagnosis of Deep Monocular Depth Estimation Models Jagpreet Chawla Nikhil Thakurdesai Anuj Godase Md. Alimoor Reza David J. Crandall Soon-Heung Jung MDE 35 2 0 15 Nov 2021
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection Saswati Ray S. Lakdawala Mononito Goswami Chufan Gao BDL 45 4 0 15 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 95 5 0 15 Nov 2021
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2 M. Griebel Dennis Segebarth N. Stein Nina Schukraft P. Tovote R. Blum C. Flath MedIm 35 2 0 12 Nov 2021
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications J. Rock Tiago Azevedo R. D. Jong Daniel Ruiz-Munoz Partha P. Maji UQCV 58 5 0 11 Nov 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang Q. Hu EDL UQCV 138 44 0 11 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 118 6 0 10 Nov 2021
Physics-enhanced deep surrogates for partial differential equations R. Pestourie Youssef Mroueh Chris Rackauckas Payel Das Steven G. Johnson PINN AI4CE 59 15 0 10 Nov 2021
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks Guoxuan Xia Sangwon Ha Tiago Azevedo Partha P. Maji UQCV 46 1 0 10 Nov 2021
Statistical Perspectives on Reliability of Artificial Intelligence Systems Yili Hong J. Lian Li Xu Jie Min Yueyao Wang Laura J. Freeman Xinwei Deng 68 33 0 09 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 57 4 0 08 Nov 2021
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification Sai Krishna Mendu S. Chakraborty BDL AI4CE 57 1 0 08 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong Yimeng Chen Liang Pang Xueqi Chen Yanyan Lan 50 21 0 07 Nov 2021
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation Peng Gao Brian Reily Rui Guo Hongsheng Lu Qingzhao Zhu Hao Zhang 74 6 0 05 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning Runa Eschenhagen Erik A. Daxberger Philipp Hennig Agustinus Kristiadi UQCV BDL 73 23 0 05 Nov 2021
A deep ensemble approach to X-ray polarimetry A. L. Peirson R. Romani 23 1 0 04 Nov 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data Andrew Jesson P. Tigas Joost R. van Amersfoort Andreas Kirsch Uri Shalit Y. Gal CML 109 32 0 03 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 126 61 0 03 Nov 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification Zhenyu Wang Yali Li Ye Guo Shengjin Wang NoLa 63 28 0 01 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 62 35 0 31 Oct 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe Lovekesh Vig OODD 95 10 0 31 Oct 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 109 30 0 29 Oct 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL Sumedh Anand Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 62 2 0 29 Oct 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 71 3 0 29 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 74 6 0 28 Oct 2021
Multi-Class Anomaly Detection Suresh Singh Minwei Luo Yu Li 48 1 0 28 Oct 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition Junjiao Tian Dylan Yung Yen-Chang Hsu Z. Kira 91 23 0 27 Oct 2021