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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
Understanding Out-of-distribution: A Perspective of Data Dynamics
Understanding Out-of-distribution: A Perspective of Data Dynamics
Dyah Adila
Dongyeop Kang
59
12
0
29 Nov 2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Guansong Lu
Yueh-Cheng Liu
Tung-I Chen
Hung-Ting Su
Tsung-Han Wu
Winston H. Hsu
UQCV
61
0
0
29 Nov 2021
Country-wide Retrieval of Forest Structure From Optical and SAR
  Satellite Imagery With Deep Ensembles
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles
Alexander Becker
S. Russo
Stefano Puliti
Nico Lang
Konrad Schindler
Jan Dirk Wegner
75
45
0
25 Nov 2021
Robust Object Detection with Multi-input Multi-output Faster R-CNN
Robust Object Detection with Multi-input Multi-output Faster R-CNN
Sebastian Cygert
A. Czyżewski
ObjD
32
2
0
25 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles
Transferability Metrics for Selecting Source Model Ensembles
A. Agostinelli
J. Uijlings
Thomas Mensink
V. Ferrari
77
25
0
25 Nov 2021
Reliable Graph Neural Networks for Drug Discovery Under Distributional
  Shift
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
Kehang Han
Balaji Lakshminarayanan
J. Liu
OODGNN
75
33
0
25 Nov 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection
Uncertainty Aware Proposal Segmentation for Unknown Object Detection
Yimeng Li
Jana Kosecka
UQCV
108
19
0
25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
122
490
0
24 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on
  Complex Urban Driving Scenes
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Yu Tian
Yuyuan Liu
Guansong Pang
Fengbei Liu
Yuanhong Chen
G. Carneiro
165
88
0
24 Nov 2021
A General Divergence Modeling Strategy for Salient Object Detection
A General Divergence Modeling Strategy for Salient Object Detection
Xinyu Tian
Jing Zhang
Yuchao Dai
63
0
0
23 Nov 2021
Uncertainty estimation under model misspecification in neural network
  regression
Uncertainty estimation under model misspecification in neural network regression
Maria R. Cervera
Rafael Dätwyler
Francesco DÁngelo
Hamza Keurti
Benjamin Grewe
Christian Henning
64
6
0
23 Nov 2021
RIO: Rotation-equivariance supervised learning of robust inertial
  odometry
RIO: Rotation-equivariance supervised learning of robust inertial odometry
Caifa Zhou
Xiya Cao
Dandan Zeng
Yongliang Wang
OODSSL
68
23
0
23 Nov 2021
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image
  Segmentation
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Xu Zheng
Chong Fu
Haoyu Xie
Jialei Chen
Xingwei Wang
Chiu-Wing Sham
OOD
69
38
0
23 Nov 2021
Automated cross-sectional view selection in CT angiography of aortic
  dissections with uncertainty awareness and retrospective clinical annotations
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Antonio Pepe
Jan Egger
M. Codari
M. Willemink
Christina Schwarz-Gsaxner
Jianning Li
P. Roth
G. Mistelbauer
Dieter Schmalstieg
D. Fleischmann
28
8
0
22 Nov 2021
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning
  Leveraging Planning
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
Christopher P. Diehl
Timo Sievernich
Martin Krüger
F. Hoffmann
Torsten Bertram
OffRL
123
27
0
22 Nov 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Leonid Sigal
UQCV
65
1
0
22 Nov 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCVOOD
97
14
0
21 Nov 2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot
  Settings
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings
Matias Valdenegro-Toro
UQCV
54
2
0
18 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun
Yixuan Li
OODD
165
163
0
18 Nov 2021
Uncertainty Quantification of Surrogate Explanations: an Ordinal
  Consensus Approach
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
Jonas Schulz
Rafael Poyiadzi
Raúl Santos-Rodríguez
57
7
0
17 Nov 2021
Trustworthy Long-Tailed Classification
Trustworthy Long-Tailed Classification
Bolian Li
Zongbo Han
Haining Li
Huazhu Fu
Changqing Zhang
EDL
64
73
0
17 Nov 2021
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are
  Better Than One
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One
Shuwei Shao
Ran Li
Z. Pei
Zhong Liu
Weihai Chen
Wentao Zhu
Xingming Wu
Baochang Zhang
ViTMDE
46
13
0
16 Nov 2021
Selective Ensembles for Consistent Predictions
Selective Ensembles for Consistent Predictions
Emily Black
Klas Leino
Matt Fredrikson
69
23
0
16 Nov 2021
Error Diagnosis of Deep Monocular Depth Estimation Models
Error Diagnosis of Deep Monocular Depth Estimation Models
Jagpreet Chawla
Nikhil Thakurdesai
Anuj Godase
Md. Alimoor Reza
David J. Crandall
Soon-Heung Jung
MDE
35
2
0
15 Nov 2021
Learning Graph Neural Networks for Multivariate Time Series Anomaly
  Detection
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
Saswati Ray
S. Lakdawala
Mononito Goswami
Chufan Gao
BDL
45
4
0
15 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence
  Calibration
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Wenhao Li
Qisen Xu
Chuyun Shen
Bin Hu
Fengping Zhu
Yuxin Li
Bo Jin
Xiangfeng Wang
95
5
0
15 Nov 2021
Deep-learning in the bioimaging wild: Handling ambiguous data with
  deepflash2
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2
M. Griebel
Dennis Segebarth
N. Stein
Nina Schukraft
P. Tovote
R. Blum
C. Flath
MedIm
35
2
0
12 Nov 2021
On Efficient Uncertainty Estimation for Resource-Constrained Mobile
  Applications
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
J. Rock
Tiago Azevedo
R. D. Jong
Daniel Ruiz-Munoz
Partha P. Maji
UQCV
58
5
0
11 Nov 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma
  Distributions
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
Q. Hu
EDLUQCV
138
44
0
11 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCVAAMLOOD
118
6
0
10 Nov 2021
Physics-enhanced deep surrogates for partial differential equations
Physics-enhanced deep surrogates for partial differential equations
R. Pestourie
Youssef Mroueh
Chris Rackauckas
Payel Das
Steven G. Johnson
PINNAI4CE
59
15
0
10 Nov 2021
An Underexplored Dilemma between Confidence and Calibration in Quantized
  Neural Networks
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks
Guoxuan Xia
Sangwon Ha
Tiago Azevedo
Partha P. Maji
UQCV
46
1
0
10 Nov 2021
Statistical Perspectives on Reliability of Artificial Intelligence
  Systems
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Yili Hong
J. Lian
Li Xu
Jie Min
Yueyao Wang
Laura J. Freeman
Xinwei Deng
68
33
0
09 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift
  Using Real World Data
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
Kumud Lakara
Akshat Bhandari
Pratinav Seth
Ujjwal Verma
OOD
57
4
0
08 Nov 2021
Gated Linear Model induced U-net for surrogate modeling and uncertainty
  quantification
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification
Sai Krishna Mendu
S. Chakraborty
BDLAI4CE
57
1
0
08 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong
Yimeng Chen
Liang Pang
Xueqi Chen
Yanyan Lan
50
21
0
07 Nov 2021
Asynchronous Collaborative Localization by Integrating Spatiotemporal
  Graph Learning with Model-Based Estimation
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao
Brian Reily
Rui Guo
Hongsheng Lu
Qingzhao Zhu
Hao Zhang
74
6
0
05 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in
  Deep Learning
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCVBDL
73
23
0
05 Nov 2021
A deep ensemble approach to X-ray polarimetry
A deep ensemble approach to X-ray polarimetry
A. L. Peirson
R. Romani
23
1
0
04 Nov 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer
  Treatment-Effects from Observational Data
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
CML
109
32
0
03 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCVUD
126
61
0
03 Nov 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty
  Quantification
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang
Yali Li
Ye Guo
Shengjin Wang
NoLa
63
28
0
01 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
62
35
0
31 Oct 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug
  andPlay Data Augmentation
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
Mrinal Rawat
R. Hebbalaguppe
Lovekesh Vig
OODD
95
10
0
31 Oct 2021
Deep Deterministic Uncertainty for Semantic Segmentation
Deep Deterministic Uncertainty for Semantic Segmentation
Jishnu Mukhoti
Joost R. van Amersfoort
Philip Torr
Y. Gal
BDLUQCV
109
30
0
29 Oct 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active
  Experimentation for Safe Transfer RL
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Sumedh Anand Sontakke
Stephen Iota
Zizhao Hu
Arash Mehrjou
Laurent Itti
Bernhard Schölkopf
OODD
62
2
0
29 Oct 2021
Learning to Be Cautious
Learning to Be Cautious
Montaser Mohammedalamen
Dustin Morrill
Alexander Sieusahai
Yash Satsangi
Michael Bowling
71
3
0
29 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of
  Out-of-Distribution Data
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Junjiao Tian
Yen-Change Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
74
6
0
28 Oct 2021
Multi-Class Anomaly Detection
Multi-Class Anomaly Detection
Suresh Singh
Minwei Luo
Yu Li
48
1
0
28 Oct 2021
A Geometric Perspective towards Neural Calibration via Sensitivity
  Decomposition
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Junjiao Tian
Dylan Yung
Yen-Chang Hsu
Z. Kira
91
23
0
27 Oct 2021
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