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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
Uncertainty-based method for improving poorly labeled segmentation datasets Ekaterina Redekop A. Chernyavskiy UQCV 49 10 0 16 Feb 2021
Structured Dropout Variational Inference for Bayesian Neural Networks S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 70 8 0 16 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai Song Mei Haiquan Wang Caiming Xiong 83 42 0 15 Feb 2021
A generalized quadratic loss for SVM and Deep Neural Networks F. Portera 25 2 0 15 Feb 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods B. Hamzi R. Maulik H. Owhadi AI4TS 74 29 0 13 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 70 70 0 11 Feb 2021
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms Lorena Qendro Jagmohan Chauhan Alberto Gil C. P. Ramos Cecilia Mascolo 68 6 0 11 Feb 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 141 35 0 11 Feb 2021
Bayesian Inference with Certifiable Adversarial Robustness Matthew Wicker Luca Laurenti A. Patané Zhoutong Chen Zheng Zhang Marta Z. Kwiatkowska AAML BDL 139 30 0 10 Feb 2021
A Deep Learning Approach for Characterizing Major Galaxy Mergers Skanda Koppula V. Bapst M. Huertas-Company Sam Blackwell A. Grabska-Barwinska ... Y. Dubois Jesús Vega Ferrero D. Koo J. Primack T. Back 35 5 0 09 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 64 8 0 09 Feb 2021
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection Dara Bahri Heinrich Jiang Yi Tay Donald Metzler OODD 35 3 0 09 Feb 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 71 58 0 09 Feb 2021
Estimation and Applications of Quantiles in Deep Binary Classification Anuj Tambwekar Anirudh Maiya S. Dhavala Snehanshu Saha UQCV 27 7 0 09 Feb 2021
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility Zhengyang Zhou Yang Wang Xike Xie Lei Qiao Yuantao Li 51 23 0 09 Feb 2021
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation Augustine N. Mavor-Parker K. Young Caswell Barry Lewis D. Griffin 92 21 0 08 Feb 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 90 33 0 08 Feb 2021
Fast and Reliable Probabilistic Face Embeddings in the Wild Kai Chen Qi Lv Taihe Yi CVBM 42 5 0 08 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 122 35 0 05 Feb 2021
Fusion of neural networks, for LIDAR-based evidential road mapping Edouard Capellier Franck Davoine V. Berge-Cherfaoui You Li 60 2 0 05 Feb 2021
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models Thomas Power Dmitry Berenson 83 16 0 04 Feb 2021
Trusted Multi-View Classification Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 86 174 0 03 Feb 2021
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss Wenhui Lei Haochen Mei Zhengwentai Sun Shan Ye Ran Gu Huan Wang Rui Huang Shichuan Zhang Shaoting Zhang Guotai Wang 52 33 0 03 Feb 2021
U-LanD: Uncertainty-Driven Video Landmark Detection Mohammad Jafari C. Luong Michael Y. Tsang A. Gu N. V. Woudenberg R. Rohling T. Tsang Purang Abolmaesumi 75 13 0 02 Feb 2021
Probabilistic Trust Intervals for Out of Distribution Detection Gagandeep Singh Deepak Mishra UQCV AAML OOD 34 0 0 02 Feb 2021
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring Michael Weiss Paolo Tonella AAML 123 30 0 01 Feb 2021
Machine learning pipeline for battery state of health estimation D. Roman Saurabh Saxena Valentin Robu Michael G. Pecht David Flynn 60 391 0 01 Feb 2021
Synthetic Data and Hierarchical Object Detection in Overhead Imagery Nathan L. Clement Alan Schoen Arnold P. Boedihardjo A. Jenkins 21 8 0 29 Jan 2021
Optimal strategies for reject option classifiers V. Franc D. Prusa V. Voráček 68 38 0 29 Jan 2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning G. Shamir Wojtek Szpankowski 21 6 0 28 Jan 2021
Variational Nested Dropout Yufei Cui Yushun Mao Ziquan Liu Qiao Li Antoni B. Chan Xue Liu Tei-Wei Kuo Chun Jason Xue BDL 54 5 0 27 Jan 2021
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention Haochen Mei Wenhui Lei Ran Gu Shan Ye Zhengwentai Sun Shichuan Zhang Guotai Wang 74 23 0 27 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 336 524 0 15 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 85 52 0 14 Jan 2021
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition Dan Oneaţă Alexandru Caranica Adriana Stan H. Cucu UQCV 88 25 0 14 Jan 2021
Should Ensemble Members Be Calibrated? Xixin Wu Mark Gales UQCV 54 12 0 13 Jan 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh Steven L. Waslander UQCV 130 41 0 13 Jan 2021
Using uncertainty estimation to reduce false positives in liver lesion detection Ishaan Bhat Hugo J. Kuijf Veronika Cheplygina J. Pluim MedIm 133 9 0 12 Jan 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 260 30 0 12 Jan 2021
Analysis of skin lesion images with deep learning Josef Steppan S. Hanke 121 14 0 11 Jan 2021
Approaching Neural Network Uncertainty Realism Joachim Sicking Alexander Kister Matthias Fahrland S. Eickeler Fabian Hüger S. Rüping Peter Schlicht Tim Wirtz 50 2 0 08 Jan 2021
A Novel Regression Loss for Non-Parametric Uncertainty Optimization Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel UQCV 34 3 0 07 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 104 3 0 07 Jan 2021
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification Engkarat Techapanurak Takayuki Okatani OODD 54 9 0 07 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 127 72 0 07 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 159 0 06 Jan 2021
CycleGAN for Interpretable Online EMT Compensation Henry J Krumb Dhritimaan Das R. Chadda Anirban Mukhopadhyay MedIm 26 7 0 05 Jan 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 139 55 0 05 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 105 3 0 04 Jan 2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs Dennis Ulmer 53 0 0 03 Jan 2021