v1v2v3 (latest)

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
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 57 40 0 20 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 65 22 0 19 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 68 33 0 15 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 61 18 0 07 Aug 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems Lea Schonherr Thorsten Eisenhofer Steffen Zeiler Thorsten Holz D. Kolossa AAML 130 65 0 05 Aug 2019
Ensemble Neural Networks (ENN): A gradient-free stochastic method Yuntian Chen Haibin Chang J. Meng Dongxiao Zhang UQCV BDL 78 44 0 03 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 84 82 0 03 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 147 140 0 01 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 92 12 0 01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 104 33 0 31 Jul 2019
Curriculum based Dropout Discriminator for Domain Adaptation V. Kurmi Vipul Bajaj K. Venkatesh Vinay P. Namboodiri OOD 96 14 0 24 Jul 2019
MadMiner: Machine learning-based inference for particle physics Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 81 115 0 24 Jul 2019
Mitigating Uncertainty in Document Classification Xuchao Zhang Fanglan Chen Chang-Tien Lu Naren Ramakrishnan 62 43 0 17 Jul 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 97 144 0 17 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 101 293 0 16 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams Namuk Park Taekyu Lee Songkuk Kim MQ 59 10 0 12 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 145 137 0 07 Jul 2019
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units L. Meegahapola Vengateswaran Subramaniam Lance M. Kaplan Archan Misra 45 2 0 05 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 84 16 0 02 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 106 58 0 01 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 109 114 0 29 Jun 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 85 163 0 28 Jun 2019
Ín-Between' Uncertainty in Bayesian Neural Networks Andrew Y. K. Foong Yingzhen Li José Miguel Hernández-Lobato Richard Turner BDL UQCV 73 121 0 27 Jun 2019
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 56 20 0 25 Jun 2019
Uncertainty-aware Model-based Policy Optimization Tung-Long Vuong Kenneth Tran 42 11 0 25 Jun 2019
Quality of Uncertainty Quantification for Bayesian Neural Network Inference Jiayu Yao Weiwei Pan S. Ghosh Finale Doshi-Velez UQCV BDL 193 114 0 24 Jun 2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout Zhilu Zhang Adrian Dalca M. Sabuncu UQCV BDL 67 48 0 23 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 92 125 0 23 Jun 2019
Calibrated Model-Based Deep Reinforcement Learning Ali Malik Volodymyr Kuleshov Jiaming Song Danny Nemer Harlan Seymour Stefano Ermon 154 55 0 19 Jun 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates Hugo Penedones C. Riquelme Damien Vincent Hartmut Maennel Timothy A. Mann André Barreto Sylvain Gelly Gergely Neu OffRL 38 10 0 19 Jun 2019
Batch Active Learning Using Determinantal Point Processes Erdem Biyik Kenneth Wang Nima Anari Dorsa Sadigh 109 62 0 19 Jun 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Florin-Cristian Ghesu Bogdan Georgescu Eli Gibson Sebastian Gündel Mannudeep K. Kalra Ramandeep Singh S. Digumarthy Sasa Grbic Dorin Comaniciu UQCV 55 46 0 18 Jun 2019
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain Ge Liu Jonas W. Mueller David K Gifford UQCV 61 62 0 18 Jun 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni S. Kreiss Alexandre Alahi UQCV 86 117 0 14 Jun 2019
Selective prediction-set models with coverage guarantees Jean Feng A. Sondhi Jessica Perry N. Simon 62 8 0 13 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 74 9 0 12 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 71 47 0 12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 92 293 0 12 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 120 82 0 12 Jun 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 110 815 0 10 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 96 118 0 10 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation V. Kurmi Shanu Kumar Vinay P. Namboodiri OOD 80 108 0 08 Jun 2019
$Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy$ Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy Jingxi Li Deniz Mengu Yilin Luo Y. Rivenson Aydogan Ozcan 119 111 0 08 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 76 163 0 07 Jun 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 91 204 0 07 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 246 728 0 07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 197 1,707 0 06 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 167 247 0 06 Jun 2019
CCMI : Classifier based Conditional Mutual Information Estimation Sudipto Mukherjee Himanshu Asnani Sreeram Kannan VLM 127 81 0 05 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV BDL 82 301 0 04 Jun 2019