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Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
v1v2v3 (latest)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
    UQCVBDL
ArXiv (abs)PDFHTML

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

50 / 3,224 papers shown
Title
Instability in clinical risk stratification models using deep learning
Instability in clinical risk stratification models using deep learning
D. Martinez
A. Yakubovich
Martin G. Seneviratne
Á. Lelkes
Akshit Tyagi
...
N. L. Downing
Ron C. Li
Keith Morse
N. Shah
Ming-Jun Chen
OOD
68
2
0
20 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property
  Prediction
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
Adam Sanders
Hatem Helal
D. Beker
Ladislav Rampášek
Dominique Beaini
76
24
0
18 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim Alabdulmohsin
146
2
0
18 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
91
16
0
18 Nov 2022
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials
Albert J. W. Zhu
Simon L. Batzner
Albert Musaelian
Boris Kozinsky
66
49
0
17 Nov 2022
Are we certain it's anomalous?
Are we certain it's anomalous?
Alessandro Flaborea
Bardh Prenkaj
Bharti Munjal
Marco Aurelio Sterpa
Dario Aragona
L. Podo
Fabio Galasso
97
9
0
16 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory
  Prediction
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDLUQCV
109
26
0
16 Nov 2022
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational
  Wave Population Study
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
David Ruhe
Kaze W. K. Wong
M. Cranmer
Patrick Forré
63
7
0
15 Nov 2022
Artificial intelligence approaches for materials-by-design of energetic
  materials: state-of-the-art, challenges, and future directions
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Joseph B. Choi
Phong C. H. Nguyen
O. Sen
H. Udaykumar
Stephen Seung-Yeob Baek
PINNAI4CE
71
13
0
15 Nov 2022
Controlling Commercial Cooling Systems Using Reinforcement Learning
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo
Cosmin Paduraru
Octavian Voicu
Yuri Chervonyi
Scott A. Munns
...
Sims Witherspoon
D. Parish
Peter Dolan
Chenyu Zhao
D. Mankowitz
OffRLAI4CE
83
29
0
11 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Mrinank Sharma
Sebastian Farquhar
Eric T. Nalisnick
Tom Rainforth
BDL
84
57
0
11 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical
  Generative Models
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Kumud Lakara
Matias Valdenegro-Toro
UQCVOOD
79
1
0
11 Nov 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic
  Segmentation
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Lokesh Veeramacheneni
Matias Valdenegro-Toro
3DPCUQCV
55
2
0
11 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time
  Series Regression
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
Levente Foldesi
Matias Valdenegro-Toro
UQCV
62
3
0
11 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
93
15
0
10 Nov 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical
  Image Segmentation
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCVOOD
114
4
0
10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
106
13
0
09 Nov 2022
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
87
12
0
09 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
55
2
0
09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
57
19
0
08 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
65
26
0
08 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer
Uncertainty Quantification for Atlas-Level Cell Type Transfer
J. Engelmann
Leon Hetzel
Giovanni Palla
L. Sikkema
Malte D. Luecken
Fabian J. Theis
40
3
0
07 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in
  Long-tail Traffic Scenarios
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Liangzu Peng
Jun Li
Wenbo Shao
Hong Wang
83
9
0
07 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC
  Diabetic Retinopathy Detection
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
Pratinav Seth
Adil Mehmood Khan
Ananya Gupta
Saurabh Mishra
Akshat Bhandhari
67
0
0
06 Nov 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model
  Confidence Estimates
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li
Baotian Hu
Qingcai Chen
53
8
0
06 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
95
6
0
04 Nov 2022
Materials Property Prediction with Uncertainty Quantification: A
  Benchmark Study
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Daniel Varivoda
Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
AI4CE
90
23
0
04 Nov 2022
Quantifying Model Uncertainty for Semantic Segmentation using Operators
  in the RKHS
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS
Rishabh Singh
José C. Príncipe
UQCV
75
3
0
03 Nov 2022
Fine-Tuning Language Models via Epistemic Neural Networks
Fine-Tuning Language Models via Epistemic Neural Networks
Ian Osband
S. Asghari
Benjamin Van Roy
Nat McAleese
John Aslanides
G. Irving
UQLM
89
20
0
03 Nov 2022
Uncertainty-Aware DNN for Multi-Modal Camera Localization
Uncertainty-Aware DNN for Multi-Modal Camera Localization
Matteo Vaghi
Augusto Luis Ballardini
S. Fontana
D. Sorrenti
UQCVEDL
76
1
0
02 Nov 2022
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse
  Dynamics
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics
Hany Abdulsamad
Peter Nickl
Pascal Klink
Jan Peters
61
1
0
02 Nov 2022
Behavioral Intention Prediction in Driving Scenes: A Survey
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang
Fan Wang
Jianru Xue
Tat-Seng Chua
178
51
0
01 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
94
2
0
01 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models
A Close Look into the Calibration of Pre-trained Language Models
Yangyi Chen
Lifan Yuan
Ganqu Cui
Zhiyuan Liu
Heng Ji
153
53
0
31 Oct 2022
Denoising neural networks for magnetic resonance spectroscopy
Denoising neural networks for magnetic resonance spectroscopy
Natalie Klein
Amber J. Day
Harris Mason
M. Malone
Sinead Williamson
64
1
0
31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
89
0
0
31 Oct 2022
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug
  Discovery
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery
Y. Fan
Jonathan E. Allen
K. McLoughlin
Da Shi
B. Bennion
Xiaohua Zhang
F. Lightstone
32
0
0
31 Oct 2022
Uncertainty Aware Trader-Company Method: Interpretable Stock Price
  Prediction Capturing Uncertainty
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty
Yugo Fujimotol
Kei Nakagawa
Kentaro Imajo
Kentaro Minami
AIFin
70
3
0
31 Oct 2022
A view on model misspecification in uncertainty quantification
A view on model misspecification in uncertainty quantification
Yuko Kato
David Tax
Marco Loog
62
3
0
30 Oct 2022
Nonparametric Probabilistic Regression with Coarse Learners
Nonparametric Probabilistic Regression with Coarse Learners
B. Lucena
50
0
0
28 Oct 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
Zaharah Bukhsh
Aaqib Saeed
OODD
74
9
0
27 Oct 2022
History-Based, Bayesian, Closure for Stochastic Parameterization:
  Application to Lorenz '96
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96
Mohamed Aziz Bhouri
Pierre Gentine
AI4TSAI4CE
85
6
0
26 Oct 2022
Revisiting Softmax for Uncertainty Approximation in Text Classification
Revisiting Softmax for Uncertainty Approximation in Text Classification
Andreas Nugaard Holm
Dustin Wright
Isabelle Augenstein
BDLUQCV
63
10
0
25 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCVOODAI4CE
65
2
0
24 Oct 2022
On the optimization and pruning for Bayesian deep learning
On the optimization and pruning for Bayesian deep learning
X. Ke
Yanan Fan
BDLUQCV
82
1
0
24 Oct 2022
GFlowOut: Dropout with Generative Flow Networks
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
Dinghuai Zhang
N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
UQCVBDLOOD
112
22
0
24 Oct 2022
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized models
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
173
14
0
23 Oct 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng
Feng Zhou
Jun Zhu
BDL
83
19
0
23 Oct 2022
Uncertainty Estimates of Predictions via a General Bias-Variance
  Decomposition
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Sebastian G. Gruber
Florian Buettner
PERUQCVUD
309
13
0
21 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
122
5
0
21 Oct 2022
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