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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
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp
  Segmentation
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation
Yudian Zhang
Chenhao Xu
Kaiye Xu
Haijiang Zhu
71
0
0
09 May 2024
Selective Classification Under Distribution Shifts
Selective Classification Under Distribution Shifts
Hengyue Liang
Le Peng
Ju Sun
UQCV
101
2
0
08 May 2024
General Place Recognition Survey: Towards Real-World Autonomy
General Place Recognition Survey: Towards Real-World Autonomy
Peng Yin
Jianhao Jiao
Shiqi Zhao
Lingyun Xu
Guoquan Huang
Howie Choset
Sebastian A. Scherer
Jianda Han
178
6
0
08 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer
  Crashes
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
Kyle Stachowicz
Sergey Levine
68
7
0
07 May 2024
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via
  Ensembling Normalization Layers with Shared Weights
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights
Soyed Tuhin Ahmed
Michael Hefenbrock
M. Tahoori
UQCV
71
1
0
07 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance
  Uncertainty Estimation
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu
Luping Ji
EDL
90
4
0
07 May 2024
Uncertainty Quantification Metrics for Deep Regression
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
UQCV
77
6
0
07 May 2024
Intelligent Cardiac Auscultation for Murmur Detection via
  Parallel-Attentive Models with Uncertainty Estimation
Intelligent Cardiac Auscultation for Murmur Detection via Parallel-Attentive Models with Uncertainty Estimation
Zixing Zhang
Tao Pang
Jing Han
Björn W. Schuller
64
1
0
07 May 2024
Collaborative Intelligence in Sequential Experiments: A
  Human-in-the-Loop Framework for Drug Discovery
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
Jinghai He
Cheng Hua
Yingfei Wang
Zeyu Zheng
67
0
0
07 May 2024
Information-driven Affordance Discovery for Efficient Robotic
  Manipulation
Information-driven Affordance Discovery for Efficient Robotic Manipulation
Pietro Mazzaglia
Taco Cohen
Daniel Dijkman
130
2
0
06 May 2024
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of
  Large Language Models
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
Emre Onal
Klemens Flöge
Emma Caldwell
A. Sheverdin
Vincent Fortuin
UQCVBDL
134
12
0
06 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt
Sebastian Stober
98
1
0
06 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and
  Robot Learning
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
96
9
0
06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection
Tree-based Ensemble Learning for Out-of-distribution Detection
Zhaiming Shen
Menglun Wang
Guang Cheng
Ming-Jun Lai
Lin Mu
Ruihao Huang
Qi Liu
Hao Zhu
OODD
50
0
0
05 May 2024
Reliable Interval Prediction of Minimum Operating Voltage Based on
  On-chip Monitors via Conformalized Quantile Regression
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression
Yuxuan Yin
Xiaoxiao Wang
Rebecca Chen
Chen He
Peng Li
63
3
0
03 May 2024
Error-Driven Uncertainty Aware Training
Error-Driven Uncertainty Aware Training
Pedro Mendes
Paolo Romano
David Garlan
UQCV
102
2
0
02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated
  Neural Networks
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn
Pablo Olmos
99
1
0
02 May 2024
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot
  Applications
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Amanda Prorok
91
5
0
02 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
162
11
0
02 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
174
32
0
01 May 2024
Improving Interpretability of Deep Active Learning for Flood Inundation
  Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite
  Imagery
Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery
Hyunho Lee
Wenwen Li
AI4CE
82
11
0
29 Apr 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
133
13
0
29 Apr 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
105
7
0
28 Apr 2024
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex
  Driving Scenes
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng
Kaname Tomite
82
1
0
27 Apr 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
110
4
0
26 Apr 2024
Sensor Response-Time Reduction using Long-Short Term Memory Network
  Forecasting
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
Simon J. Ward
M. Baljevic
Sharon M. Weiss
OOD
27
0
0
26 Apr 2024
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion
  Difference
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference
Zhihao Shuai
Yinan Chen
Shunqiang Mao
Yihan Zho
Xiaohong Zhang
MedIm
68
2
0
25 Apr 2024
COBRA - COnfidence score Based on shape Regression Analysis for
  method-independent quality assessment of object pose estimation from single
  images
COBRA - COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images
Panagiotis Sapoutzoglou
Georgios Giapitzakis Tzintanos
G. Terzakis
Maria Pateraki
86
0
0
25 Apr 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
67
2
0
25 Apr 2024
Fast Ensembling with Diffusion Schrödinger Bridge
Fast Ensembling with Diffusion Schrödinger Bridge
Hyunsu Kim
Jongmin Yoon
Juho Lee
FedMLUQCV
86
1
0
24 Apr 2024
A Hybrid Probabilistic Battery Health Management Approach for Robust
  Inspection Drone Operations
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
Jokin Alcibar
J. Aizpurua
E. Zugasti
Oier Penagarikano
55
1
0
24 Apr 2024
Annotator-Centric Active Learning for Subjective NLP Tasks
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer
Neele Falk
P. Murukannaiah
Enrico Liscio
98
9
0
24 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
85
0
0
22 Apr 2024
Generalization of Task Parameterized Dynamical Systems using Gaussian
  Process Transportation
Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation
Giovanni Franzese
Ravi Prakash
Jens Kober
OOD
62
2
0
20 Apr 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic
  Chiral Metamaterials
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Lingxiao Yuan
Emma Lejeune
Harold S. Park
80
0
0
19 Apr 2024
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted
  ensembles
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles
N. Ghanathe
Steve Wilton
UQCV
78
0
0
19 Apr 2024
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
I. Char
Youngseog Chung
J. Abbate
E. Kolemen
Jeff Schneider
78
6
0
18 Apr 2024
Variational Bayesian Last Layers
Variational Bayesian Last Layers
James Harrison
John Willes
Jasper Snoek
BDLUQCV
149
34
0
17 Apr 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance
  Segmentation
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
87
0
0
17 Apr 2024
BayesJudge: Bayesian Kernel Language Modelling with Confidence
  Uncertainty in Legal Judgment Prediction
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
Ubaid Azam
Imran Razzak
Shelly Vishwakarma
Hakim Hacid
Dell Zhang
Shoaib Jameel
UQCVELMBDL
72
0
0
16 Apr 2024
Consistency and Uncertainty: Identifying Unreliable Responses From
  Black-Box Vision-Language Models for Selective Visual Question Answering
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Zaid Khan
Yun Fu
AAML
83
10
0
16 Apr 2024
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking
  Neural Network
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network
Dengyu Wu
Yi Qi
Kaiwen Cai
Gao Jin
Xinping Yi
Xiaowei Huang
96
3
0
15 Apr 2024
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via
  Evolutionary Strategies
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies
Bala McRae-Posani
Andrei Holodny
H. Shalu
J. Stember
MedIm
188
0
0
12 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty
  Quantification
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai-Vy Nguyen
Fabrice Gamboa
Reda Chhaibi
Sixin Zhang
Serge Gratton
Thierry Giaccone
FedMLUQCV
61
0
0
12 Apr 2024
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite
  Data
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
Nils Lehmann
N. Gottschling
Stefan Depeweg
Eric T. Nalisnick
93
1
0
12 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
78
0
0
11 Apr 2024
Rethinking Out-of-Distribution Detection for Reinforcement Learning:
  Advancing Methods for Evaluation and Detection
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
L. Nasvytis
Kai Sandbrink
Jakob N. Foerster
Tim Franzmeyer
Christian Schroeder de Witt
OffRLOODD
53
9
0
10 Apr 2024
Monocular 3D lane detection for Autonomous Driving: Recent Achievements,
  Challenges, and Outlooks
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
Fulong Ma
Weiqing Qi
Guoyang Zhao
Linwei Zheng
Sheng Wang
Yuxuan Liu
Ming-Yuan Liu
135
10
0
10 Apr 2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable
  3D Semantic Segmentation
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
M. Dreissig
Florian Piewak
Joschka Boedecker
78
1
0
09 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification:
  How Far Have We Gone?
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
Van Nguyen
Xingliang Yuan
Tingmin Wu
Surya Nepal
M. Grobler
Carsten Rudolph
91
1
0
09 Apr 2024
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