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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
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation Liyan Xu Xuchao Zhang Xujiang Zhao Haifeng Chen F. Chen Jinho Choi 46 14 0 01 Sep 2021
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset Nyoungwoo Lee Yujin Baek Ho-Jin Choi 95 0 0 01 Sep 2021
Bio-inspired robot perception coupled with robot-modeled human perception Tobias Fischer 60 0 0 31 Aug 2021
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection Minjie Cai Minyi Luo Xionghu Zhong Hao Chen OOD 56 6 0 28 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection Iftitahu Ni'mah Meng Fang Vlado Menkovski Mykola Pechenizkiy 79 5 0 27 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 85 28 0 26 Aug 2021
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding Rickard Sjögren J. Trygg OODD 20 1 0 24 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 85 10 0 19 Aug 2021
Teaching Uncertainty Quantification in Machine Learning through Use Cases Matias Valdenegro-Toro 21 2 0 19 Aug 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis Jessie Liu B. Gallego S. Barbieri 88 15 0 17 Aug 2021
Detecting OODs as datapoints with High Uncertainty R. Kaur Susmit Jha Anirban Roy Sangdon Park O. Sokolsky Insup Lee AAML UQCV 56 14 0 13 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 203 31 0 13 Aug 2021
Generating Diverse Descriptions from Semantic Graphs Paul Burgess Daniel Beck Trevor Cohn 61 0 0 12 Aug 2021
DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models Wenxiao Chen Xiaohui Nie Mingliang Li Dan Pei OODD 51 1 0 12 Aug 2021
Deep Metric Learning for Open World Semantic Segmentation Jun Cen Peng Yun Junhao Cai M. Y. Wang Ming-Yuan Liu 80 85 0 10 Aug 2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 108 22 0 09 Aug 2021
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks Si-Yuan Liu Pei Zhang Dan Lu Guannan Zhang OODD 65 10 0 05 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 59 9 0 04 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 88 47 0 03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 87 23 0 02 Aug 2021
Soft Calibration Objectives for Neural Networks A. Karandikar Nicholas Cain Dustin Tran Balaji Lakshminarayanan Jonathon Shlens Michael C. Mozer Becca Roelofs UQCV 108 91 0 30 Jul 2021
Toward Robust Autotuning of Noisy Quantum Dot Devices J. Ziegler T. McJunkin E. S. Joseph Sandesh S. Kalantre B. Harpt D. Savage M. Lagally M. A. Eriksson Jacob M. Taylor Justyna P. Zwolak AAML 41 24 0 30 Jul 2021
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback Shiyue Zhang B. Frey Joey Tianyi Zhou 73 7 0 30 Jul 2021
Quantifying Uncertainty for Machine Learning Based Diagnostic Owen Convery Lewis Smith Y. Gal A. Hanuka UQCV 17 0 0 29 Jul 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih Steven Hansen SSL 105 46 0 29 Jul 2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning Maryam Habibpour Hassan Gharoun M. Mehdipour AmirReza Tajally Hamzeh Asgharnezhad Afshar Shamsi Jokandan Abbas Khosravi M. Shafie‐khah S. Nahavandi J. Catalão 83 49 0 28 Jul 2021
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation M. T. Bahadori E. T. Tchetgen David Heckerman CML 79 15 0 27 Jul 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Yue Liu Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 93 51 0 27 Jul 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models Zhiliang Wu Yinchong Yang Peter A. Fasching Volker Tresp BDL 73 10 0 26 Jul 2021
Distributional Shifts in Automated Diabetic Retinopathy Screening Jay Nandy Wynne Hsu Mong Li Lee OOD MedIm 24 5 0 25 Jul 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 84 18 0 25 Jul 2021
Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation Ruibo Shang Mikaela A. O’Brien Geoffrey P. Luke UQCV BDL 66 2 0 24 Jul 2021
An Instance-Dependent Simulation Framework for Learning with Label Noise Keren Gu Xander Masotto Vandana Bachani Balaji Lakshminarayanan Jack Nikodem Dong Yin NoLa 116 24 0 23 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 68 5 0 23 Jul 2021
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference M. Shaker Eyke Hüllermeier UD UQCV PER BDL 330 20 0 21 Jul 2021
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition Didan Deng Liang Wu Bertram E. Shi 63 34 0 21 Jul 2021
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data Viswanath P. Sudarshan Uddeshya Upadhyay Gary F. Egan Zhaolin Chen Suyash P. Awate OOD MedIm 86 40 0 21 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 76 35 0 21 Jul 2021
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions Eoin Delaney Derek Greene Mark T. Keane 79 26 0 20 Jul 2021
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System Shuang Ao Xeno Acharya 43 1 0 20 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 105 23 0 20 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 104 45 0 20 Jul 2021
Offline Preference-Based Apprenticeship Learning Daniel Shin Daniel S. Brown Anca D. Dragan OffRL 94 17 0 20 Jul 2021
Confidence Aware Neural Networks for Skin Cancer Detection Donya Khaledyan AmirReza Tajally A. Sarkhosh Afshar Shamsi Jokandan Hamzeh Asgharnezhad Abbas Khosravi S. Nahavandi 92 10 0 19 Jul 2021
Transductive image segmentation: Self-training and effect of uncertainty estimation Konstantinos Kamnitsas S. Winzeck E. Kornaropoulos Daniel Whitehouse Cameron Englman ... David Menon Daniel Rueckert T. Das Virginia Newcombe Ben Glocker MedIm 25 2 0 19 Jul 2021
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 136 109 0 19 Jul 2021
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation Gun-Hee Lee Hanbum Ko Seong-Whan Lee 36 0 0 19 Jul 2021
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning Sayak Paul Siddha Ganju 65 32 0 18 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 75 37 0 17 Jul 2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark Anand Avati Martin G. Seneviratne Emily Xue Zhen Xu Balaji Lakshminarayanan Andrew M. Dai OOD CML 75 8 0 17 Jul 2021