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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
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for
  Visual-Inertial Odometry
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry
Ying Xu
Guido de Croon
BDL
76
5
0
30 Aug 2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier
  Detection with PixelCNN++
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Barath Mohan Umapathi
Kushal Chauhan
Pradeep Shenoy
D. Sridharan
58
0
0
29 Aug 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks
Autoinverse: Uncertainty Aware Inversion of Neural Networks
Navid Ansari
Hans-Peter Seidel
Nima Vahidi Ferdowsi
Vahid Babaei
BDL
61
13
0
29 Aug 2022
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Ju-Seung Byun
Andrew Perrault
OffRL
107
0
0
28 Aug 2022
Information FOMO: The unhealthy fear of missing out on information. A
  method for removing misleading data for healthier models
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models
Ethan Pickering
T. Sapsis
79
6
0
27 Aug 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty
  Quantification and Optimization, a Battery Digital Twin, and Perspectives
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
80
90
0
27 Aug 2022
NeuralUQ: A comprehensive library for uncertainty quantification in
  neural differential equations and operators
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators
Zongren Zou
Xuhui Meng
Apostolos F. Psaros
George Karniadakis
AI4CE
97
39
0
25 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
157
121
0
24 Aug 2022
Why is the video analytics accuracy fluctuating, and what can we do
  about it?
Why is the video analytics accuracy fluctuating, and what can we do about it?
Sibendu Paul
Kunal Rao
G. Coviello
Murugan Sankaradas
Oliver Po
Y. C. Hu
S. Chakradhar
AAML
80
3
0
23 Aug 2022
Lottery Pools: Winning More by Interpolating Tickets without Increasing
  Training or Inference Cost
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
Lu Yin
Shiwei Liu
Fang Meng
Tianjin Huang
Vlado Menkovski
Mykola Pechenizkiy
56
13
0
23 Aug 2022
Some Supervision Required: Incorporating Oracle Policies in
  Reinforcement Learning via Epistemic Uncertainty Metrics
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
Jun Jet Tai
Jordan Terry
M. Innocente
J. Brusey
N. Horri
70
2
0
22 Aug 2022
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues
  with Deep Learning
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning
Enrui Zhang
B. Spronck
J. Humphrey
George Karniadakis
AI4CE
79
10
0
21 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation
  of Outliers
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers
Sangwoong Yoon
Jinwon Choi
Yonghyeon Lee
Yung-Kyun Noh
Frank C. Park
OODD
45
1
0
20 Aug 2022
Generalised Co-Salient Object Detection
Generalised Co-Salient Object Detection
Jiawei Liu
Jing Zhang
Ruikai Cui
Kaihao Zhang
Weihao Li
Nick Barnes
61
3
0
20 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative
  Models
Out-of-distribution Detection via Frequency-regularized Generative Models
Mu Cai
Yixuan Li
OODD
64
33
0
18 Aug 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to
  Non-consecutive Spatiotemporal Dynamics
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Zhengyang Zhou
Yang Kuo
Wei Sun
Binwu Wang
Mingxing Zhou
Yunan Zong
Yang Wang
AI4TS
56
4
0
17 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in
  Natural Language Understanding Dataset
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin
Xingbo Wang
Furui Cheng
Chunhui Sun
Qun Liu
Huamin Qu
58
9
0
17 Aug 2022
Uncertainty-guided Source-free Domain Adaptation
Uncertainty-guided Source-free Domain Adaptation
Subhankar Roy
Martin Trapp
Andrea Pilzer
Arno Solin
N. Sebe
Elisa Ricci
Arno Solin
EDLTTAUQLMUQCV
135
68
0
16 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time
  Series
Confidence-Guided Learning Process for Continuous Classification of Time Series
Chenxi Sun
Moxian Song
D. Cai
B. Zhang
linda Qiao
Hongyan Li
41
6
0
14 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
EDLOODUQCV
86
39
0
11 Aug 2022
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Weizhu Qian
Dalin Zhang
Yan Zhao
Kai Zheng
James Jianqiao Yu
BDLAI4TS
69
23
0
11 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIPVLM
182
108
0
10 Aug 2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and
  Efficient Semi-Supervised Segmentation
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
VLMOOD
37
12
0
08 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
72
7
0
05 Aug 2022
Distance-based detection of out-of-distribution silent failures for
  Covid-19 lung lesion segmentation
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
Jiamin Liang
Yuhao Huang
Haoming Li
Shuangchi He
Xindi Hu
Zejian Chen
Isabel Kaltenborn
Dong Ni
OOD
86
44
0
05 Aug 2022
Deep Surrogate of Modular Multi Pump using Active Learning
Deep Surrogate of Modular Multi Pump using Active Learning
Malathi Murugesan
Kanika Goyal
Laure Barriere
Maura Pasquotti
Giacomo Veneri
Giovanni De Magistris
103
1
0
04 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLMSSLDRL
147
43
0
04 Aug 2022
Gradient-based Uncertainty for Monocular Depth Estimation
Gradient-based Uncertainty for Monocular Depth Estimation
Julia Hornauer
Vasileios Belagiannis
UQCV
88
32
0
03 Aug 2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Jan Hartman
Davorin Kopic
31
2
0
03 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold
  Geometry
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
M. Penrod
Harrison Termotto
Varshini Reddy
Jiayu Yao
Finale Doshi-Velez
Weiwei Pan
AAMLOOD
73
1
0
02 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural
  Networks
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
83
15
0
31 Jul 2022
A general framework for multi-step ahead adaptive conformal
  heteroscedastic time series forecasting
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
Martim Sousa
Ana Maria Tomé
José Manuel Moreira
AI4TS
100
2
0
28 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
141
173
0
28 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample
  Detection using Compounded Corruptions
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
R. Hebbalaguppe
Soumya Suvra Goshal
Jatin Prakash
H. Khadilkar
Chetan Arora
OODD
69
5
0
28 Jul 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous
  Control
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control
T. Kanazawa
Haiyan Wang
Chetan Gupta
UQCV
99
4
0
27 Jul 2022
Towards Clear Expectations for Uncertainty Estimation
Towards Clear Expectations for Uncertainty Estimation
Victor Bouvier
Simona Maggio
A. Abraham
L. Dreyfus-Schmidt
UQCV
65
2
0
27 Jul 2022
Uncertainty-based Visual Question Answering: Estimating Semantic
  Inconsistency between Image and Knowledge Base
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base
Jinyeong Chae
Jihie Kim
59
2
0
27 Jul 2022
One Simple Trick to Fix Your Bayesian Neural Network
One Simple Trick to Fix Your Bayesian Neural Network
Piotr Tempczyk
Ksawery Smoczyñski
Philip Smolenski-Jensen
Marek Cygan
BDLMLT
26
0
0
26 Jul 2022
Task Agnostic and Post-hoc Unseen Distribution Detection
Task Agnostic and Post-hoc Unseen Distribution Detection
Radhika Dua
Seong-sil Yang
Yixuan Li
Edward Choi
OODD
66
11
0
26 Jul 2022
Domain Adaptation under Open Set Label Shift
Domain Adaptation under Open Set Label Shift
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OODVLM
85
42
0
26 Jul 2022
Modelling non-reinforced preferences using selective attention
Modelling non-reinforced preferences using selective attention
Noor Sajid
P. Tigas
Zafeirios Fountas
Qinghai Guo
Alexey Zakharov
Lancelot Da Costa
70
1
0
25 Jul 2022
$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of
  Deep Representations
ppp-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations
Adam Dziedzic
Stephan Rabanser
Mohammad Yaghini
Armin Ale
Murat A. Erdogdu
Nicolas Papernot
AAML
68
3
0
25 Jul 2022
Error-Aware Spatial Ensembles for Video Frame Interpolation
Error-Aware Spatial Ensembles for Video Frame Interpolation
Zhixiang Chi
Rasoul Mohammadi Nasiri
Zheng Liu
Yuanhao Yu
Juwei Lu
Jingshan Tang
Konstantinos N Plataniotis
53
3
0
25 Jul 2022
Can we achieve robustness from data alone?
Can we achieve robustness from data alone?
Nikolaos Tsilivis
Jingtong Su
Julia Kempe
OODDD
108
18
0
24 Jul 2022
Active Pointly-Supervised Instance Segmentation
Active Pointly-Supervised Instance Segmentation
Chufeng Tang
Lingxi Xie
Gang Zhang
Xiaopeng Zhang
Qi Tian
Xiaolin Hu
ISeg
81
15
0
23 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
30
5
0
22 Jul 2022
Improving Predictive Performance and Calibration by Weight Fusion in
  Semantic Segmentation
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann
A. Hammam
Andrei Bursuc
Christoph Stiller
H. Groß
FedML
53
1
0
22 Jul 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network
  Prediction
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Hu Wang
Jianpeng Zhang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
UQCV
99
19
0
22 Jul 2022
Complementing Semi-Supervised Learning with Uncertainty Quantification
Complementing Semi-Supervised Learning with Uncertainty Quantification
Ehsan Kazemi
29
0
0
22 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN
  Supervision Testing
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Michael Weiss
A. Gómez
Paolo Tonella
AAML
64
6
0
21 Jul 2022
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