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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
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
Edward Choi
124
1
0
03 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
UQCV
122
43
0
02 Aug 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body
  Reconstruction
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
Yufei Zhang
Hanjing Wang
Jeffrey O. Kephart
Q. Ji
3DH
86
9
0
01 Aug 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching
ELFNet: Evidential Local-global Fusion for Stereo Matching
Jieming Lou
Weide Liu
Zhu Chen
Fayao Liu
Jun Cheng
81
26
0
01 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
83
2
0
01 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty
  Estimation for Adversarial Robustness
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
Ruoxi Qin
Linyuan Wang
Xuehui Du
Xing-yuan Chen
Binghai Yan
AAML
121
1
0
01 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with
  Orthogonal Projection of Gradients
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Sima Behpour
T. Doan
Xin Li
Wenbin He
Liangke Gou
Liu Ren
OODD
99
17
0
01 Aug 2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
Sadhana Lolla
I. Elistratov
Alejandro Perez
Elaheh Ahmadi
Daniela Rus
Alexander Amini
UQCV
37
1
0
01 Aug 2023
Investigating and Improving Latent Density Segmentation Models for
  Aleatoric Uncertainty Quantification in Medical Imaging
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
UQCV
104
2
0
31 Jul 2023
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks
Mustafa Shukor
Corentin Dancette
Alexandre Ramé
Matthieu Cord
MoMeMLLM
126
46
0
30 Jul 2023
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in
  Autonomous Driving
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Yang Lou
Qun Song
Qian Xu
Rui Tan
Jianping Wang
54
1
0
30 Jul 2023
Multi-layer Aggregation as a key to feature-based OOD detection
Multi-layer Aggregation as a key to feature-based OOD detection
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
63
6
0
28 Jul 2023
TriadNet: Sampling-free predictive intervals for lesional volume in 3D
  brain MR images
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
MedIm
67
4
0
28 Jul 2023
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control
Amir Ramezani Dooraki
Alexandros Iosifidis
36
0
0
28 Jul 2023
Uncertainty-aware Unsupervised Multi-Object Tracking
Uncertainty-aware Unsupervised Multi-Object Tracking
Kai Liu
Sheng Jin
Zhihang Fu
Ze Chen
Rongxin Jiang
Jieping Ye
VOTMQ
112
8
0
28 Jul 2023
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical
  Guarantees
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees
D. C. Hoang
Behzad Ousat
Amin Kharraz
Cuong V Nguyen
AAML
85
1
0
27 Jul 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in
  Musculoskeletal Segmentation of Lower Extremities
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
105
5
0
26 Jul 2023
Unmasking Anomalies in Road-Scene Segmentation
Unmasking Anomalies in Road-Scene Segmentation
Shyam Nandan Rai
Fabio Cermelli
Dario Fontanel
Carlo Masone
Barbara Caputo
ISeg
77
41
0
25 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
132
3
0
24 Jul 2023
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real
  Transfer for Traffic Signal Control
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control
Longchao Da
Hao Mei
Romir Sharma
Hua Wei
101
3
0
23 Jul 2023
Identifying contributors to supply chain outcomes in a multi-echelon
  setting: a decentralised approach
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach
Stefan Schoepf
Jack Foster
Alexandra Brintrup
76
1
0
22 Jul 2023
Making Pre-trained Language Models both Task-solvers and
  Self-calibrators
Making Pre-trained Language Models both Task-solvers and Self-calibrators
Yangyi Chen
Xingyao Wang
Heng Ji
59
0
0
21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
77
7
0
20 Jul 2023
Confidence Estimation Using Unlabeled Data
Confidence Estimation Using Unlabeled Data
Chen Li
Xiaoling Hu
Chao Chen
UQCV
53
10
0
19 Jul 2023
Uncertainty Quantification for Molecular Property Predictions with Graph
  Neural Architecture Search
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
Shengli Jiang
Shiyi Qin
Reid C. Van Lehn
Prasanna Balaprakash
Victor M. Zavala
AI4CE
96
7
0
19 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSegUQCV
64
7
0
19 Jul 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
77
4
0
19 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using
  Pretrained Transformers
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Jaeyoung Kim
Kyuheon Jung
Dongbin Na
Sion Jang
Eunbin Park
Sungchul Choi
OODD
73
7
0
18 Jul 2023
Discovering a reaction-diffusion model for Alzheimer's disease by
  combining PINNs with symbolic regression
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression
Zhen Zhang
Zongren Zou
E. Kuhl
George Karniadakis
68
43
0
16 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
Yuheng Huang
Jiayang Song
Zhijie Wang
Shengming Zhao
Huaming Chen
Felix Juefei-Xu
Lei Ma
107
34
0
16 Jul 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation
  in Neural Networks
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Dominik Schnaus
Jongseok Lee
Zorah Lähner
Rudolph Triebel
UQCVBDL
80
1
0
15 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty
  Calibration in Domain Adaptation
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
55
0
0
14 Jul 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior
  Distributions over Functions
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner
Tim G. J. Rudner
M. Reutlinger
Torsten Schindler
Garrett M. Morris
Charlotte M. Deane
Yee Whye Teh
OODBDL
55
10
0
14 Jul 2023
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep
  Reinforcement Learning
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning
Wenzhou Lv
Tianyu Wu
Luolin Xiong
Liang Wu
Jianglei Zhou
Yang Tang
Feng Qian
55
2
0
13 Jul 2023
Robust scalable initialization for Bayesian variational inference with
  multi-modal Laplace approximations
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
Wyatt Bridgman
Reese E. Jones
Mohammad Khalil
71
1
0
12 Jul 2023
Function-Space Regularization for Deep Bayesian Classification
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCVBDL
71
1
0
12 Jul 2023
Predicting small molecules solubilities on endpoint devices using deep
  ensemble neural networks
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks
Mayk Caldas Ramos
Andrew D. White
46
1
0
11 Jul 2023
Joint Salient Object Detection and Camouflaged Object Detection via
  Uncertainty-aware Learning
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning
Aixuan Li
Jing Zhang
Yun-Qiu Lv
Tong Zhang
Yiran Zhong
Mingyi He
Yuchao Dai
72
2
0
10 Jul 2023
Formulation Graphs for Mapping Structure-Composition of Battery
  Electrolytes to Device Performance
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
Vidushi Sharma
Maxwell J. Giammona
Dmitry Zubarev
Andy Tek
Khanh Nugyuen
Linda Sundberg
D. Congiu
Young-Hye La
69
12
0
07 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty
  Estimates
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Michael Kirchhof
Bálint Mucsányi
Seong Joon Oh
Enkelejda Kasneci
UQCV
502
15
0
07 Jul 2023
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles
Kareem A. Eltouny
Wansong Liu
Sibo Tian
Minghui Zheng
Xiao Liang
3DH
53
7
0
07 Jul 2023
Quantification of Uncertainty with Adversarial Models
Quantification of Uncertainty with Adversarial Models
Kajetan Schweighofer
L. Aichberger
Mykyta Ielanskyi
Günter Klambauer
Sepp Hochreiter
UQCV
90
17
0
06 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection
Contextual Affinity Distillation for Image Anomaly Detection
Jie Zhang
Masanori Suganuma
Takayuki Okatani
99
16
0
06 Jul 2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator
  Capacitance Predictions
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
S. Goldenberg
M. Schram
Kishansingh Rajput
T. Britton
C. Pappas
Dawei Lu
Jared Walden
M. Radaideh
Sarah Cousineau
S. Harave
67
1
0
05 Jul 2023
Set Learning for Accurate and Calibrated Models
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler
Robert A. Vandermeulen
Qiuyi Zhang
Thomas Unterthiner
Klaus-Robert Muller
78
2
0
05 Jul 2023
Shifting Attention to Relevance: Towards the Predictive Uncertainty
  Quantification of Free-Form Large Language Models
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
Jinhao Duan
Hao-Ran Cheng
Shiqi Wang
Alex Zavalny
Chenan Wang
Renjing Xu
B. Kailkhura
Kaidi Xu
133
51
0
03 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects
Robust Uncertainty Estimation for Classification of Maritime Objects
J. Becktor
Frederik E. T. Schöller
Evangelos Boukas
Lazaros Nalpantidis
UQCVOOD
104
2
0
03 Jul 2023
Morse Neural Networks for Uncertainty Quantification
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin
Huiyi Hu
Jie Jessie Ren
Michael W. Dusenberry
Balaji Lakshminarayanan
UQCVAI4CE
43
4
0
02 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Uddeshya Upadhyay
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
MLLMVLM
92
4
0
01 Jul 2023
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
Seunghyeon Seo
Yeonjin Chang
Nojun Kwak
76
28
0
30 Jun 2023
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