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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"

50 / 3,224 papers shown

Title
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik Thayer Alshaabi Srigokul Upadhyayula Yaniv Romano UQCV OOD 86 96 0 10 Feb 2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization D. Durfee Aman Gupta Kinjal Basu UQCV 39 2 0 10 Feb 2022
Augmenting Neural Networks with Priors on Function Values Hunter Nisonoff Yixin Wang Jennifer Listgarten 74 3 0 10 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 67 22 0 09 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better Transferability Matteo Pagliardini Martin Jaggi Franccois Fleuret Sai Praneeth Karimireddy 94 75 0 09 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks Duo Wang Yiren Zhao Ilia Shumailov Robert D. Mullins UQCV OOD BDL 45 0 0 09 Feb 2022
A Neural Phillips Curve and a Deep Output Gap Philippe Goulet Coulombe 57 11 0 08 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 114 18 0 08 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 288 66 0 07 Feb 2022
Theoretical characterization of uncertainty in high-dimensional linear classification Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová 91 21 0 07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 108 30 0 07 Feb 2022
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro Paul Bertin Jarrid Rector-Brooks Deepak Sharma Thomas Gaudelet A. Anighoro ... Charlie Roberts M. Bronstein L. Lairson J. Taylor-King Yoshua Bengio 77 10 0 07 Feb 2022
Universality of parametric Coupling Flows over parametric diffeomorphisms Junlong Lyu Zhitang Chen Chang Feng Wenjing Cun Shengyu Zhu Yanhui Geng Zhijie Xu Yuxiao Chen 63 3 0 07 Feb 2022
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 70 3 0 06 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training Shiwei Liu Tianlong Chen Xiaohan Chen Li Shen Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy 103 113 0 05 Feb 2022
A Note on "Assessing Generalization of SGD via Disagreement" Andreas Kirsch Y. Gal FedML UQCV 65 16 0 03 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 79 7 0 03 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 98 11 0 03 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 142 65 0 01 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 139 143 0 01 Feb 2022
Sketching stochastic valuation functions M. C. Yiliu Wang 69 0 0 01 Feb 2022
A Cheap Bootstrap Method for Fast Inference Henry Lam 97 11 0 31 Jan 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension Bruno Loureiro Cédric Gerbelot Maria Refinetti G. Sicuro Florent Krzakala 92 27 0 31 Jan 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 121 16 0 31 Jan 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 56 3 0 31 Jan 2022
Deep Non-Crossing Quantiles through the Partial Derivative Axel Brando J. Gimeno Jose A. Rodríguez-Serrano Jordi Vitrià 144 13 0 30 Jan 2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors Joseph Gesnouin Steve Pechberti B. Stanciulescu Fabien Moutarde 65 12 0 29 Jan 2022
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap Carlos Mougan Dan Saattrup Nielsen 102 15 0 27 Jan 2022
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems JaKeoung Koo Abderrahim Halimi S. Mclaughlin BDL 3DV 70 18 0 26 Jan 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 54 7 0 26 Jan 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald Kirill Bykov Shinichi Nakajima Marina M.-C. Höhne 93 5 0 26 Jan 2022
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data Charlie Kirkwood T. Economou H. Odbert N. Pugeault 52 0 0 25 Jan 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning Jiwon Kim Kwang-seok Ryoo Gyuseong Lee Seokju Cho Junyoung Seo Daehwan Kim Hansang Cho Seung Wook Kim 70 1 0 25 Jan 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 108 55 0 24 Jan 2022
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification J. Jaskari J. Sahlsten Theodoros Damoulas Jeremias Knoblauch Simo Särkkä L. Kärkkäinen K. Hietala K. Kaski BDL UQCV 67 28 0 22 Jan 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 90 2 0 20 Jan 2022
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging Taoli Cheng Aaron Courville 78 6 0 18 Jan 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy Cole Hawkins Alec Koppel Zheng Zhang 75 4 0 18 Jan 2022
Adversarial vulnerability of powerful near out-of-distribution detection Stanislav Fort OODD 66 17 0 18 Jan 2022
Robust uncertainty estimates with out-of-distribution pseudo-inputs training Pierre Segonne Yevgen Zainchkovskyy Søren Hauberg UQCV OOD 26 1 0 15 Jan 2022
A Kernel-Expanded Stochastic Neural Network Y. Sun F. Liang 60 7 0 14 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 99 131 0 11 Jan 2022
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models Pascal Gerber Lisa Jöckel Michael Kläs 42 4 0 10 Jan 2022
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT Aparna Elangovan Yuan Li Douglas E. V. Pires Melissa J. Davis Karin Verspoor 126 9 0 06 Jan 2022
Mixture of basis for interpretable continual learning with distribution shifts Mengda Xu Sumitra Ganesh Pranay Pasula OOD 72 1 0 05 Jan 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 83 37 0 05 Jan 2022
Towards Unsupervised Open World Semantic Segmentation Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk 133 18 0 04 Jan 2022
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping K. Takahashi Naoki Fukaya Avinash Ummadisingu 38 12 0 04 Jan 2022
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction Jiamian Wang Yulun Zhang X. Yuan Ziyi Meng Zhiqiang Tao 79 10 0 31 Dec 2021
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 82 1 0 30 Dec 2021