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A Survey of Uncertainty in Deep Neural Networks

A Survey of Uncertainty in Deep Neural Networks

7 July 2021
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
Jianxiang Feng
Anna M. Kruspe
Rudolph Triebel
P. Jung
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
    BDL
    UQCV
    OOD
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Papers citing "A Survey of Uncertainty in Deep Neural Networks"

50 / 379 papers shown
Title
Label Augmentation for Neural Networks Robustness
Label Augmentation for Neural Networks Robustness
Fatemeh Amerehi
Patrick Healy
AAML
39
1
0
04 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
46
1
0
02 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
46
2
0
01 Aug 2024
Improving Domain Adaptation Through Class Aware Frequency Transformation
Improving Domain Adaptation Through Class Aware Frequency Transformation
Vikash Kumar
Himanshu Patil
Rohit Lal
Anirban Chakraborty
32
5
0
28 Jul 2024
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR
  Images
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images
Zhongling Huang
Yihan Zhuang
Zipei Zhong
Feng Xu
Gong Cheng
Junwei Han
28
1
0
28 Jul 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene
  Representation Network
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong
Skylar W. Wurster
Hanqi Guo
Tom Peterka
Han-Wei Shen
UQCV
56
1
0
26 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose
  Estimation from Image Features
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features
Romeo Valentin
Sydney M. Katz
Joonghyun Lee
Don Walker
Matthew Sorgenfrei
Mykel J. Kochenderfer
36
0
0
23 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
29
1
0
18 Jul 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida
Ines Dutra
Francesco Renna
UQCV
40
0
0
17 Jul 2024
Expert-aware uncertainty estimation for quality control of neural-based
  blood typing
Expert-aware uncertainty estimation for quality control of neural-based blood typing
E.E. Zaychenkova
Dmitrii Iarchuk
S.A. Korchagin
Alexey Zaitsev
Egor Ershov
52
0
0
15 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions
  in an Image
Understanding the Dependence of Perception Model Competency on Regions in an Image
Sara Pohland
Claire Tomlin
19
1
0
15 Jul 2024
Risks of uncertainty propagation in Al-augmented security pipelines
Risks of uncertainty propagation in Al-augmented security pipelines
Emanuele Mezzi
Aurora Papotti
Fabio Massacci
Katja Tuma
48
0
0
14 Jul 2024
AI-driven multi-omics integration for multi-scale predictive modeling of
  causal genotype-environment-phenotype relationships
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
You Wu
Lei Xie
AI4CE
28
10
0
08 Jul 2024
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation
  in Multiple Sclerosis
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
N. Molchanova
A. Cagol
P. M. Gordaliza
Mario Ocampo Pineda
Po-Jui Lu
...
Xinjie Chen
A. Depeursinge
C. Granziera
Henning Muller
Meritxell Bach Cuadra
18
0
0
08 Jul 2024
Machine Learning Models for Improved Tracking from Range-Doppler Map
  Images
Machine Learning Models for Improved Tracking from Range-Doppler Map Images
Elizabeth Hou
Ross Greenwood
Piyush Kumar
28
0
0
03 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for
  Real-world Speech Emotion Recognition
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition
Oliver Schrufer
M. Milling
Felix Burkhardt
F. Eyben
Björn Schuller
29
3
0
01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction
Improve ROI with Causal Learning and Conformal Prediction
Meng Ai
Zhuo Chen
Jibin Wang
Jing Shang
Tao Tao
Zhen Li
32
0
0
01 Jul 2024
DADEE: Well-calibrated uncertainty quantification in neural networks for
  barriers-based robot safety
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
Masoud Ataei
Vikas Dhiman
42
0
0
30 Jun 2024
AI for Extreme Event Modeling and Understanding: Methodologies and
  Challenges
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
Gustau Camps-Valls
Miguel-Ángel Fernández-Torres
Kai-Hendrik Cohrs
Adrian Höhl
A. Castelletti
...
S. Salcedo-Sanz
S. Sippel
Spyros Kondylatos
Tamara Happé
T. Williams
37
0
0
28 Jun 2024
Segment Anything Model for automated image data annotation: empirical
  studies using text prompts from Grounding DINO
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
F. Mumuni
A. Mumuni
VLM
39
0
0
27 Jun 2024
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers
Paul Fearnhead
Sebastiano Grazzi
Chris Nemeth
Gareth O. Roberts
30
0
0
27 Jun 2024
Test-Time Generative Augmentation for Medical Image Segmentation
Test-Time Generative Augmentation for Medical Image Segmentation
Xiao Ma
Yuhui Tao
Yuhan Zhang
Zexuan Ji
Yizhe Zhang
Qiang Chen
MedIm
50
0
0
25 Jun 2024
Suppressing Uncertainties in Degradation Estimation for Blind
  Super-Resolution
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
Junxiong Lin
Zeng Tao
Xuan Tong
Xinji Mai
Haoran Wang
...
Jiawen Yu
Yuxuan Lin
Shaoqi Yan
Shuyong Gao
Wenqiang Zhang
32
3
0
24 Jun 2024
Confidence Regulation Neurons in Language Models
Confidence Regulation Neurons in Language Models
Alessandro Stolfo
Ben Wu
Wes Gurnee
Yonatan Belinkov
Xingyi Song
Mrinmaya Sachan
Neel Nanda
29
12
0
24 Jun 2024
Bayesian neural networks for predicting uncertainty in full-field
  material response
Bayesian neural networks for predicting uncertainty in full-field material response
G. Pasparakis
Lori Graham-Brady
Michael D. Shields
AI4CE
45
4
0
21 Jun 2024
Trusting Semantic Segmentation Networks
Trusting Semantic Segmentation Networks
Samik Some
Vinay P. Namboodiri
UQCV
65
0
0
20 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
70
1
0
17 Jun 2024
Flexible Heteroscedastic Count Regression with Deep Double Poisson
  Networks
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young
P. Jenkins
Lonchao Da
Jeff Dotson
Hua Wei
UQCV
BDL
44
2
0
13 Jun 2024
Assessment of Uncertainty Quantification in Universal Differential
  Equations
Assessment of Uncertainty Quantification in Universal Differential Equations
Nina Schmid
David Fernandes del Pozo
Willem Waegeman
Jan Hasenauer
AI4CE
60
1
0
13 Jun 2024
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
Wei Li
Pin-Yu Chen
Sijia Liu
Ren Wang
AAML
46
3
0
09 Jun 2024
Robust quantum dots charge autotuning using neural networks uncertainty
Robust quantum dots charge autotuning using neural networks uncertainty
Victor Yon
Bastien Galaup
Claude Rohrbacher
J. Rivard
Clément Godfrin
...
Louis Gaudreau
Eva Dupont-Ferrier
Y. Beilliard
R. Melko
Dominique Drouin
28
1
0
07 Jun 2024
Predictive Dynamic Fusion
Predictive Dynamic Fusion
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
34
8
0
07 Jun 2024
Semantically Diverse Language Generation for Uncertainty Estimation in
  Language Models
Semantically Diverse Language Generation for Uncertainty Estimation in Language Models
L. Aichberger
Kajetan Schweighofer
Mykyta Ielanskyi
Sepp Hochreiter
HILM
30
10
0
06 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Evan Becker
Stefano Soatto
45
6
0
05 Jun 2024
Global Clipper: Enhancing Safety and Reliability of Transformer-based
  Object Detection Models
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models
Qutub Syed Sha
Michael Paulitsch
Karthik Pattabiraman
Korbinian Hagn
Fabian Oboril
Cornelius Buerkle
Kay-Ulrich Scholl
Gereon Hinz
Alois C. Knoll
29
0
0
05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
58
3
0
05 Jun 2024
A Bayesian Approach to Online Planning
A Bayesian Approach to Online Planning
Nir Greshler
David Ben-Eli
Carmel Rabinovitz
Gabi Guetta
Liran Gispan
Guy Zohar
Aviv Tamar
23
0
0
04 Jun 2024
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
Lijun Zhou
Tao Tang
Pengkun Hao
Zihang He
Kalok Ho
...
Zhihui Hao
Haiyang Sun
Kun Zhan
Peng Jia
Xianpeng Lang
VOT
58
4
0
04 Jun 2024
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
Nikolas Adaloglou
Félix D. P. Michels
Kaspar Senft
Diana Petrusheva
M. Kollmann
47
1
0
03 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAtt
UQCV
31
2
0
01 Jun 2024
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Zhi Zheng
Qian Feng
Hang Li
Alois C. Knoll
Jianxiang Feng
54
6
0
01 Jun 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Ilia Azizi
M. Boldi
V. Chavez-Demoulin
95
0
0
28 May 2024
Reliable Trajectory Prediction and Uncertainty Quantification with
  Conditioned Diffusion Models
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
DiffM
43
3
0
23 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
85
6
0
23 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using
  Deterministic Uncertainty Networks and Uncertainty-aware Training
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
Tareen Dawood
B. Ruijsink
Reza Razavi
Andrew P. King
Esther Puyol-Antón
UQCV
45
1
0
10 May 2024
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee
Jae Oh Woo
Juree Seok
Parisa Hassanzadeh
Wooseok Jang
...
Hankyu Moon
Wenjun Hu
Yeong-Dae Kwon
Taehee Lee
Seungjai Min
47
2
0
10 May 2024
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
46
0
0
09 May 2024
Uncertainty quantification in metric spaces
Uncertainty quantification in metric spaces
Gábor Lugosi
Marcos Matabuena
44
4
0
08 May 2024
3DMeshNet: A Three-Dimensional Differential Neural Network for
  Structured Mesh Generation
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation
Jiaming Peng
Xinhai Chen
Jie Liu
AI4CE
50
1
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
27
3
0
07 May 2024
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