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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
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble
  of Neural Networks
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks
Jihed Khiari
Cristina Olaverri-Monreal
60
2
0
14 Apr 2023
Toward Reliable Human Pose Forecasting with Uncertainty
Toward Reliable Human Pose Forecasting with Uncertainty
Saeed Saadatnejad
Mehrshad Mirmohammadi
Matin Daghyani
Parham Saremi
Yashar Zoroofchi Benisi
Amir Alimohammadi
Zahra Tehraninasab
Taylor Mordan
Alexandre Alahi
54
6
0
13 Apr 2023
Neural State-Space Models: Empirical Evaluation of Uncertainty
  Quantification
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification
Marco Forgione
Dario Piga
UQCV
72
3
0
13 Apr 2023
Boosted Prompt Ensembles for Large Language Models
Boosted Prompt Ensembles for Large Language Models
Silviu Pitis
Michael Ruogu Zhang
Andrew Wang
Jimmy Ba
LRMLLMAG
73
43
0
12 Apr 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical
  Satellite Time Series
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
92
37
0
11 Apr 2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View
  Classification
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
Mengyao Xie
Zongbo Han
Changqing Zhang
Yichen Bai
Qinghua Hu
UQCVEDL
326
16
0
11 Apr 2023
Approaching Test Time Augmentation in the Context of Uncertainty
  Calibration for Deep Neural Networks
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde
T. Barros
Rui L. Lopes
C. Premebida
U. J. Nunes
UQCV
69
7
0
11 Apr 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep
  Learning
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
Hanjing Wang
D. Joshi
Shiqiang Wang
Q. Ji
UQCVBDL
56
6
0
10 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for
  Classifying Common Mental Illnesses on Social Media Posts
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Pratinav Seth
Mihir Agarwal
AI4MH
64
1
0
10 Apr 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
60
3
0
09 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OODUQCV
70
3
0
08 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly
  Identification
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification
Meng Wang
Tian Lin
Lianyu Wang
Aidi Lin
K. Zou
...
Yang Liu
C. Pang
Xinjian Chen
Haoyu Chen
Huazhu Fu
208
39
0
08 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Jinsung Yoon
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
115
1
0
07 Apr 2023
Fairness through Aleatoric Uncertainty
Fairness through Aleatoric Uncertainty
Anique Tahir
Lu Cheng
Huan Liu
100
13
0
07 Apr 2023
Reliable learning in challenging environments
Reliable learning in challenging environments
Maria-Florina Balcan
Steve Hanneke
Rattana Pukdee
Dravyansh Sharma
OOD
82
6
0
06 Apr 2023
Towards Efficient MCMC Sampling in Bayesian Neural Networks by
  Exploiting Symmetry
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
J. G. Wiese
Lisa Wimmer
Theodore Papamarkou
Bernd Bischl
Stephan Günnemann
David Rügamer
86
15
0
06 Apr 2023
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
Erik Englesson
Amir Mehrpanah
Hossein Azizpour
NoLa
72
1
0
06 Apr 2023
Source-free Domain Adaptation Requires Penalized Diversity
Source-free Domain Adaptation Requires Penalized Diversity
Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Alexandre See
Samira Ebrahimi Kahou
T. Fevens
Mohammad Havaei
TTA
60
0
0
06 Apr 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies
Learning Stability Attention in Vision-based End-to-end Driving Policies
Tsun-Hsuan Wang
Wei Xiao
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
81
6
0
05 Apr 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep
  Neural Networks
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
Michael Weiss
Paolo Tonella
AI4CE
60
0
0
05 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OODUQCV
71
0
0
04 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and
  Distributions
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
OOD
48
11
0
04 Apr 2023
Incorporating Unlabelled Data into Bayesian Neural Networks
Incorporating Unlabelled Data into Bayesian Neural Networks
Mrinank Sharma
Tom Rainforth
Yee Whye Teh
Vincent Fortuin
SSLUQCVBDL
98
10
0
04 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online
  modeling for complex systems
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kicic
Pantelis R. Vlachas
G. Arampatzis
Michail Chatzimanolakis
Leonidas Guibas
Petros Koumoutsakos
AI4CE
65
6
0
04 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal
  Uncertainty Estimation
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
M. Jung
He Zhao
Joanna Dipnall
Lan Du
UQCVBDL
72
8
0
04 Apr 2023
Conformalized Unconditional Quantile Regression
Conformalized Unconditional Quantile Regression
Ahmed Alaa
Zeshan Hussain
David Sontag
84
9
0
04 Apr 2023
Uncertainty Propagation in Node Classification
Uncertainty Propagation in Node Classification
Zhao Xu
Carolin (Haas) Lawrence
Ammar Shaker
Raman Siarheyeu
BDLUQCV
143
2
0
03 Apr 2023
Unbiased Scene Graph Generation in Videos
Unbiased Scene Graph Generation in Videos
Sayak Nag
Kyle Min
Subarna Tripathi
Amit K. Roy-Chowdhury
117
31
0
03 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected
  Reconstruction
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction
Xu Tan
Jiawei Yang
Junqi Chen
S. Rahardja
S. Rahardja
UQCV
84
2
0
03 Apr 2023
Learning the Distribution of Errors in Stereo Matching for Joint
  Disparity and Uncertainty Estimation
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
Liyan Chen
Weihan Wang
Philippos Mordohai
UQCV
106
28
0
31 Mar 2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Ce Liu
Suryansh Kumar
Shuhang Gu
Radu Timofte
Luc Van Gool
MDEVLM
111
15
0
31 Mar 2023
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Ori Linial
Alon Shoshan
Nadav Bhonker
Elad Hirsch
L. Zamir
Igor Kviatkovsky
Gérard Medioni
73
2
0
30 Mar 2023
Surrogate Neural Networks for Efficient Simulation-based Trajectory
  Planning Optimization
Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization
Evelyn Ruff
Rebecca L. Russell
Matthew Stoeckle
P. Miotto
Jonathan P. How
28
1
0
30 Mar 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model
  Uncertainty Compensation
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
43
1
0
29 Mar 2023
Robust Tumor Detection from Coarse Annotations via Multi-Magnification
  Ensembles
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
Mehdi Naouar
Gabriel Kalweit
Ignacio Mastroleo
P. Poxleitner
M. Metzger
Joschka Boedecker
M. Kalweit
47
2
0
29 Mar 2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image
  Segmentation
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation
Kilian Zepf
Eike Petersen
J. Frellsen
Aasa Feragen
58
7
0
28 Mar 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in
  Multi-output Regression Task
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
Sunwoong Yang
K. Yee
UQCV
96
6
0
28 Mar 2023
Deep Ranking Ensembles for Hyperparameter Optimization
Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi
Sebastian Pineda Arango
Josif Grabocka
BDL
87
7
0
27 Mar 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning
  with Hierarchical Aggregation
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
Rongyu Zhang
Xiaowei Chi
Guiliang Liu
Wenyi Zhang
Yuan Du
Fang Wang
93
11
0
27 Mar 2023
Collaborative Multi-Object Tracking with Conformal Uncertainty
  Propagation
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su
Songyang Han
Yiming Li
Zhili Zhang
Chen Feng
Caiwen Ding
Fei Miao
VOT
110
26
0
25 Mar 2023
On the Efficacy of Generalization Error Prediction Scoring Functions
On the Efficacy of Generalization Error Prediction Scoring Functions
Puja Trivedi
Danai Koutra
Jayaraman J. Thiagarajan
59
0
0
23 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODDUQCV
79
8
0
23 Mar 2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from
  Spatial Aleatoric Uncertainty
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Kilian Zepf
Selma Wanna
M. Miani
Juston Moore
J. Frellsen
Søren Hauberg
Aasa Feragen
Frederik Warburg
UQCV
59
4
0
23 Mar 2023
SPeC: A Soft Prompt-Based Calibration on Performance Variability of
  Large Language Model in Clinical Notes Summarization
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization
Yu-Neng Chuang
Ruixiang Tang
Xiaoqian Jiang
Helen Zhou
LM&MA
74
21
0
23 Mar 2023
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy
  Staging
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
Meng Wang
Lianyu Wang
Xinxing Xu
K. Zou
Yiming Qian
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
OODFedML
86
6
0
23 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MUAI4TS
103
2
0
23 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
126
1
0
23 Mar 2023
Text2Motion: From Natural Language Instructions to Feasible Plans
Text2Motion: From Natural Language Instructions to Feasible Plans
Kevin Qinghong Lin
Christopher Agia
Toki Migimatsu
Marco Pavone
Jeannette Bohg
LM&Ro
167
284
0
21 Mar 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge
  Detector
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
Caixia Zhou
Yaping Huang
Mengyang Pu
Q. Guan
Li Huang
Haibin Ling
UQCV
83
37
0
21 Mar 2023
EPiC: Ensemble of Partial Point Clouds for Robust Classification
EPiC: Ensemble of Partial Point Clouds for Robust Classification
Meir Yossef Levi
Guy Gilboa
3DPC
79
10
0
20 Mar 2023
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