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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
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDLUQCV
100
0
0
17 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
81
0
0
16 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online
  Learning in Cyber-Security Problems
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
Benjamin Kolicic
Alberto Caron
Chris Hicks
V. Mavroudis
AI4CE
89
0
0
14 Nov 2024
Arctique: An artificial histopathological dataset unifying realism and
  controllability for uncertainty quantification
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
Jannik Franzen
Claudia Winklmayr
Vanessa Emanuela Guarino
Christoph Karg
Xiaoyan Yu
Nora Koreuber
Jan P. Albrecht
Philip Bischoff
Dagmar Kainmueller
130
0
0
11 Nov 2024
Data-Driven Gradient Optimization for Field Emission Management in a
  Superconducting Radio-Frequency Linac
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac
Steven Goldenberg
Kawser Ahammed
A. Carpenter
Jiang Li
Riad Suleiman
C. Tennant
AI4CE
63
0
0
11 Nov 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang
Hyungi Lee
Jungtaek Kim
Juho Lee
MoMe
136
4
0
11 Nov 2024
Are Deep Learning Methods Suitable for Downscaling Global Climate
  Projections? Review and Intercomparison of Existing Models
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models
Jose González-Abad
José Manuel Gutiérrez
AI4Cl
74
0
0
06 Nov 2024
To Ask or Not to Ask? Detecting Absence of Information in Vision and
  Language Navigation
To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation
Savitha Sam Abraham
Sourav Garg
Feras Dayoub
142
0
0
06 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Yitian Shi
Edgar Welte
Maximilian Gilles
Rania Rayyes
164
5
0
06 Nov 2024
Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many Classes
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
82
1
0
05 Nov 2024
Stein Variational Newton Neural Network Ensembles
Stein Variational Newton Neural Network Ensembles
Klemens Flöge
Mohammed Abdul Moeed
Vincent Fortuin
BDLUQCV
113
0
0
04 Nov 2024
Sample-Efficient Alignment for LLMs
Sample-Efficient Alignment for LLMs
Zichen Liu
Changyu Chen
Chao Du
Wee Sun Lee
Min Lin
102
4
0
03 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao
Hongyang Du
Guangyuan Liu
Dusit Niyato
DiffM
91
0
0
02 Nov 2024
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic
  Aberration Detection
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection
Simon Gutwein
Martin Kampel
Sabine Taschner-Mandl
Roxane Licandro
MedIm
85
0
0
01 Nov 2024
How many classifiers do we need?
How many classifiers do we need?
Hyunsuk Kim
Liam Hodgkinson
Ryan Theisen
Michael W. Mahoney
131
0
0
01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD
  Detection in SAR Imagery
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Kyung-Hwan Lee
Kyung-Tae Kim
77
0
0
01 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy
  Minimization of CKA
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
David Smerkous
Qinxun Bai
Fuxin Li
BDL
119
1
0
31 Oct 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Nikita Durasov
Rafid Mahmood
Jiwoong Choi
Marc T. Law
James Lucas
Pascal Fua
Jose M. Alvarez
UQCVEDL3DPC
92
2
0
31 Oct 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTDMoE
276
13
0
31 Oct 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in
  Sequence Prediction
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
Qidong Yang
Weicheng Zhu
Joseph Keslin
L. Zanna
Tim G. J. Rudner
Carlos Fernandez-Granda
BDLUQCVAI4TS
78
0
0
30 Oct 2024
Permutation Invariant Learning with High-Dimensional Particle Filters
Permutation Invariant Learning with High-Dimensional Particle Filters
Akhilan Boopathy
Aneesh Muppidi
Peggy Yang
Abhiram Iyer
William Yue
Ila R Fiete
SSL
85
0
0
30 Oct 2024
Improving Uncertainty Quantification in Large Language Models via
  Semantic Embeddings
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
Yashvir S. Grewal
Edwin V. Bonilla
Thang D. Bui
UQCV
84
9
0
30 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Arthur Pignet
Chiara Regniez
John Klein
182
1
0
30 Oct 2024
Enhancing Safety and Robustness of Vision-Based Controllers via
  Reachability Analysis
Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Aryaman Gupta
Somil Bansal
80
3
0
29 Oct 2024
CODES: Benchmarking Coupled ODE Surrogates
CODES: Benchmarking Coupled ODE Surrogates
Robin Janssen
Immanuel Sulzer
Tobias Buck
OffRL
42
1
0
28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
87
1
0
26 Oct 2024
Ensembling Finetuned Language Models for Text Classification
Ensembling Finetuned Language Models for Text Classification
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
73
0
0
25 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for
  biomedical segmentation
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
UQCV
70
0
0
24 Oct 2024
Calibrating Deep Neural Network using Euclidean Distance
Calibrating Deep Neural Network using Euclidean Distance
Wenhao Liang
Chang George Dong
Liangwei Nathan Zheng
Zhengyang Li
Wei Emma Zhang
Weitong Chen
UQCV
124
2
0
23 Oct 2024
Can Uncertainty Quantification Enable Better Learning-based Index
  Tuning?
Can Uncertainty Quantification Enable Better Learning-based Index Tuning?
Tao Yu
Zhaonian Zou
Hao Xiong
54
1
0
23 Oct 2024
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors
  via Alternating Projections
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
M. Miani
Hrittik Roy
Søren Hauberg
UQCVBDL
112
0
0
22 Oct 2024
Theoretical Limitations of Ensembles in the Age of Overparameterization
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern
John P. Cunningham
Geoff Pleiss
BDLUQCV
90
1
0
21 Oct 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang
Yutong Yang
Zhaoxi Zhang
Sanwoo Lee
Yunfang Wu
126
23
0
20 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural
  Networks
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
Yujia Wu
Bo Yang
Yang Zhao
Elynn Chen
Yuzhou Chen
Zheshi Zheng
95
2
0
20 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou
Jordy Van Landeghem
Teodora Popordanoska
Matthew B. Blaschko
149
3
0
20 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation
What's New in My Data? Novelty Exploration via Contrastive Generation
Masaru Isonuma
Ivan Titov
59
0
0
18 Oct 2024
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer
  Detection in Microscopic Blood Sample Using Gated Recurrent Unit and
  Uncertainty Quantification
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
Maksuda Akter
Rabea Khatun
Md Manowarul Islam
26
0
0
18 Oct 2024
Constrained Recurrent Bayesian Forecasting for Crack Propagation
Constrained Recurrent Bayesian Forecasting for Crack Propagation
Sara Yasmine Ouerk
Olivier Vo Van
Mouadh Yagoubi
78
0
0
18 Oct 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware
  Segmentations of Images
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images
Jiyoung Park
Günay Doğan
UQCV
55
0
0
17 Oct 2024
The Disparate Benefits of Deep Ensembles
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
86
1
0
17 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Rui Wang
LRM
115
15
0
17 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via
  Subjective Logic
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
Jinqian Chen
Jihua Zhu
140
0
0
16 Oct 2024
Consistency Calibration: Improving Uncertainty Calibration via
  Consistency among Perturbed Neighbors
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
Linwei Tao
Haolan Guo
Minjing Dong
Chang Xu
UQCVAAML
60
2
0
16 Oct 2024
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
Ng Wen Zheng Terence
Chen Jianda
74
0
0
16 Oct 2024
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for
  Generalized Zero-shot Learning
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
Man Liu
H. Bai
Feng-Qiang Li
Chunjie Zhang
Y. X. Wei
Meng Wang
Tat-Seng Chua
Yao Zhao
121
0
0
15 Oct 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Guiyu Zhang
Huan-ang Gao
Zijian Jiang
Hao Zhao
Zhedong Zheng
EGVM
119
6
0
15 Oct 2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
96
4
0
15 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
Johan Hatleskog
Kostas Alexis
3DPC
105
3
0
14 Oct 2024
Conformalized Reachable Sets for Obstacle Avoidance With Spheres
Conformalized Reachable Sets for Obstacle Avoidance With Spheres
Yongseok Kwon
Jonathan Michaux
Seth Isaacson
Bohao Zhang
Matthew Ejakov
Katherine A. Skinner
Ram Vasudevan
76
2
0
13 Oct 2024
Many-body Expansion Based Machine Learning Models for Octahedral
  Transition Metal Complexes
Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes
Ralf Meyer
Daniel B K Chu
Heather J. Kulik
34
1
0
12 Oct 2024
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