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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
Confidence Estimation for Error Detection in Text-to-SQL Systems
Confidence Estimation for Error Detection in Text-to-SQL Systems
Oleg Somov
Elena Tutubalina
88
2
0
17 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
213
0
0
17 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
Matias Valdenegro-Toro
Marco Zullich
BDLPERUQCVUD
488
0
0
14 Jan 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Mathieu Cocheteux
Julien Moreau
Franck Davoine
138
2
0
12 Jan 2025
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
80
2
0
11 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
Fuhang Liang
Rucong Xu
Deng Lin
OOD
86
0
0
10 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Adrien Lafage
Mathieu Barbier
Gianni Franchi
David Filliat
85
3
0
08 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
Shrihan Agarwal
A. Ćiprijanović
Brian D. Nord
OOD
81
1
0
08 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Daojun Liang
Haixia Zhang
Dongfeng Yuan
UQCV
146
0
0
08 Jan 2025
Partial-Label Learning with a Reject Option
Partial-Label Learning with a Reject Option
Tobias Fuchs
Florian Kalinke
Klemens Bohm
116
1
0
08 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Amol Khanna
Chenyi Ling
Derek Everett
Edward Raff
Nathan Inkawhich
OODD
123
0
0
05 Jan 2025
Reweighting Improves Conditional Risk Bounds
Reweighting Improves Conditional Risk Bounds
Yikai Zhang
Jiahe Lin
Fengpei Li
Songzhu Zheng
Anant Raj
Anderson Schneider
Yuriy Nevmyvaka
62
1
0
04 Jan 2025
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
Yuxuan Qi
L. Lin
Jiajun Wang
Jingya Zhang
Bin Zhang
EDLMedIm
105
0
0
03 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
259
4
0
03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
250
2
0
03 Jan 2025
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
Krzysztof Lis
Matthias Rottmann
Annika Mütze
S. Honari
Pascal Fua
Mathieu Salzmann
ViT
133
3
0
31 Dec 2024
JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements
JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements
Zhu Liu
Zhen Hu
Ying Liu
97
0
0
31 Dec 2024
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
138
1
0
22 Dec 2024
Uncertainty Estimation for Super-Resolution using ESRGAN
Uncertainty Estimation for Super-Resolution using ESRGAN
Maniraj Sai Adapa
Marco Zullich
Matias Valdenegro-Toro
UQCVOOD
93
0
0
19 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm
  Events
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot
Xihaier Luo
Ai Kagawa
Shinjae Yoo
EDLBDL
107
0
0
18 Dec 2024
Uncertainty separation via ensemble quantile regression
Uncertainty separation via ensemble quantile regression
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
UDUQCV
127
0
0
18 Dec 2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
269
0
0
18 Dec 2024
Open-World Panoptic Segmentation
Open-World Panoptic Segmentation
Matteo Sodano
Federico Magistri
Jens Behley
Cyrill Stachniss
VLM
157
0
0
17 Dec 2024
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness
  and Challenges
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges
Martin Aubard
Ana Madureira
Luis F. Teixeira
José Pinto
AAML
140
3
0
16 Dec 2024
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
218
2
0
16 Dec 2024
Neural Network Meta Classifier: Improving the Reliability of Anomaly
  Segmentation
Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
Jurica Runtas
Tomislav Petkovic
UQCV
127
0
0
14 Dec 2024
U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face
  Video-based Blood Pressure Measurement
U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Measurement
Yusuke Akamatsu
Terumi Umematsu
Hitoshi Imaoka
CVBM
96
0
0
14 Dec 2024
Test-Time Alignment via Hypothesis Reweighting
Test-Time Alignment via Hypothesis Reweighting
Yoonho Lee
Jonathan Williams
Henrik Marklund
Archit Sharma
E. Mitchell
Anikait Singh
Chelsea Finn
141
5
0
11 Dec 2024
Dense Cross-Connected Ensemble Convolutional Neural Networks for
  Enhanced Model Robustness
Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness
Longwei Wang
Xueqian Li
Zheng Zhang
94
4
0
09 Dec 2024
Detecting Discrepancies Between AI-Generated and Natural Images Using
  Uncertainty
Detecting Discrepancies Between AI-Generated and Natural Images Using Uncertainty
Jun Nie
Yonggang Zhang
Tongliang Liu
Y. Cheung
Bo Han
Xinmei Tian
UQCV
133
1
0
08 Dec 2024
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
Ola Shorinwa
Zhiting Mei
Justin Lidard
Allen Z. Ren
Anirudha Majumdar
HILMLRM
128
19
0
07 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi
Yibin Wang
Ligong Han
Huatian Zhang
Hao Wang
UQCV
225
2
0
07 Dec 2024
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
Xiayin Lou
Peng Luo
Liqiu Meng
197
0
0
05 Dec 2024
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate
  Predictions and Application to Atomic Physics Simulations
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations
Casey Lauer
Robert C. Blake
Jonathan B. Freund
114
0
0
04 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image
  Generation
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
122
1
0
04 Dec 2024
Enhancing Trust in Large Language Models with Uncertainty-Aware
  Fine-Tuning
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning
R. Krishnan
Piyush Khanna
Omesh Tickoo
HILM
116
1
0
03 Dec 2024
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with
  Shared Representations and Independent Branching
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching
Arnav Kharbanda
Advait Chandorkar
UQCV
111
0
0
02 Dec 2024
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
Shanu Kumar
Saish Mendke
Karody Lubna Abdul Rahman
Santosh Kurasa
Parag Agrawal
Sandipan Dandapat
LLMAGLRM
138
3
0
30 Nov 2024
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
Tao Sun
Sander M. Bohté
UQCVBDL
212
0
0
29 Nov 2024
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
Michele De Vita
Vasileios Belagiannis
DiffM
151
1
0
29 Nov 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and
  Benefits
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
Daniel Morales-Brotons
Thijs Vogels
Hadrien Hendrikx
190
23
0
27 Nov 2024
Streamlining Prediction in Bayesian Deep Learning
Streamlining Prediction in Bayesian Deep Learning
Marcus Klasson
Talal Alrawajfeh
Mikko Heikkilä
Martin Trapp
UQCVBDL
232
2
0
27 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
286
1
0
25 Nov 2024
Customer Lifetime Value Prediction with Uncertainty Estimation Using
  Monte Carlo Dropout
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
Xinzhe Cao
Yadong Xu
Xiaofeng Yang
118
0
0
24 Nov 2024
Benchmarking Active Learning for NILM
Benchmarking Active Learning for NILM
Dhruv Patel
Ankita Kumari Jain
Haikoo Khandor
Xhitij Choudhary
Nipun Batra
101
0
0
24 Nov 2024
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
G. Nam
Juho Lee
133
0
0
22 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
203
1
0
22 Nov 2024
Umbrella Reinforcement Learning -- computationally efficient tool for
  hard non-linear problems
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems
Egor E. Nuzhin
Nikolai V. Brilliantov
95
1
0
21 Nov 2024
Improving OOD Generalization of Pre-trained Encoders via Aligned
  Embedding-Space Ensembles
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
Shuman Peng
Arash Khoeini
Sharan Vaswani
Martin Ester
149
0
0
20 Nov 2024
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning
Ting Zhu
Yue Jin
Jeremie Houssineau
Giovanni Montana
71
0
0
17 Nov 2024
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