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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
Reliable training and estimation of variance networks N. Detlefsen Martin Jørgensen Søren Hauberg UQCV 117 89 0 04 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 48 1 0 03 Jun 2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu Elliot Meyerson Risto Miikkulainen UQCV 90 54 0 03 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness A. Malinin Mark Gales UQCV AAML 90 177 0 31 May 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 118 13 0 30 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 84 88 0 30 May 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 87 13 0 29 May 2019
Uncertainty Based Detection and Relabeling of Noisy Image Labels Jan M. Köhler Maximilian Autenrieth William H. Beluch NoLa 80 28 0 29 May 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 99 175 0 28 May 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks Dan Levi Liran Gispan Niv Giladi Ethan Fetaya UQCV 91 145 0 28 May 2019
Generative Parameter Sampler For Scalable Uncertainty Quantification Minsuk Shin Young Lee Jun S. Liu 55 0 0 28 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 87 545 0 27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 52 32 0 26 May 2019
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions Feiyang Pan Xiang Ao Pingzhong Tang Min Lu Dapeng Liu Lei Xiao Qing He 72 22 0 26 May 2019
Adaptive, Distribution-Free Prediction Intervals for Deep Networks D. Kivaranovic Kory D. Johnson Hannes Leeb OOD 198 89 0 25 May 2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity Engkarat Techapanurak Masanori Suganuma Takayuki Okatani OODD 85 29 0 25 May 2019
HDI-Forest: Highest Density Interval Regression Forest Lin Zhu Jiaxing Lu Yihong Chen 49 6 0 24 May 2019
Controlling Risk of Web Question Answering Lixin Su Jiafeng Guo Yixing Fan Yanyan Lan Xueqi Cheng 56 9 0 24 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 86 97 0 23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 71 8 0 23 May 2019
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors P. Gurevich Hannes Stuke 29 1 0 21 May 2019
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 75 12 0 19 May 2019
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning Mike Walmsley Lewis Smith Chris J. Lintott Y. Gal S. Bamford ... K. Masters C. Scarlata B. Simmons R. Smethurst D. Wright 77 89 0 17 May 2019
Strong and Simple Baselines for Multimodal Utterance Embeddings Paul Pu Liang Y. Lim Yao-Hung Hubert Tsai Ruslan Salakhutdinov Louis-Philippe Morency SSL 59 29 0 14 May 2019
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks Georgios Kissas Yibo Yang E. Hwuang W. Witschey John A. Detre P. Perdikaris AI4CE 139 377 0 13 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 47 6 0 09 May 2019
Conformalized Quantile Regression Yaniv Romano Evan Patterson Emmanuel J. Candès 498 618 0 08 May 2019
Uncertainty-Aware Data Aggregation for Deep Imitation Learning Yuchen Cui David Isele S. Niekum K. Fujimura 198 27 0 07 May 2019
Are Graph Neural Networks Miscalibrated? Leonardo Teixeira B. Jalaeian Bruno Ribeiro AI4CE 75 22 0 07 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 197 3,042 0 06 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 77 26 0 05 May 2019
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks A. Mozafari H. Gomes Wilson Leão Christian Gagné UQCV 63 3 0 01 May 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark Gales UQCV 96 237 0 30 Apr 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 70 19 0 26 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 80 150 0 25 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 80 178 0 16 Apr 2019
A Discussion on Solving Partial Differential Equations using Neural Networks Tim Dockhorn 63 62 0 15 Apr 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 65 34 0 15 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart Cesar Cadena UQCV 89 159 0 05 Apr 2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks K. Posch J. Pilz UQCV BDL 112 29 0 02 Apr 2019
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network Valentin Peretroukhin Brandon Wagstaff Matthew Giamou Jonathan Kelly 52 11 0 01 Apr 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra Lovekesh Vig Gautam M. Shroff UQCV 69 16 0 23 Mar 2019
Data Augmentation for Bayesian Deep Learning YueXing Wang Nicholas G. Polson Vadim Sokolov UQCV BDL 85 5 0 22 Mar 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 47 17 0 21 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 70 51 0 20 Mar 2019
Crowd Counting with Decomposed Uncertainty Min Hwan Oh Peder Olsen Karthikeyan N. Ramamurthy UQCV 71 109 0 15 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 67 119 0 09 Mar 2019
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks T. Adler Lynton Ardizzone A. Vemuri Leonardo Ayala J. Gröhl ... Sebastian J. Wirkert Jakob Kruse Carsten Rother Ullrich Kothe Lena Maier-Hein UQCV 55 31 0 08 Mar 2019
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure Huitong Pan Brandon Yushan Feng Quan Chen C. Meyer Xue Feng 106 16 0 06 Mar 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi 61 13 0 05 Mar 2019