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Deep Evidential Regression
v1v2 (latest)

Deep Evidential Regression

7 October 2019
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
    EDLPERBDLUDUQCV
ArXiv (abs)PDFHTML

Papers citing "Deep Evidential Regression"

50 / 205 papers shown
Title
Latent Variable Sequence Identification for Cognitive Models with Neural
  Bayes Estimation
Latent Variable Sequence Identification for Cognitive Models with Neural Bayes Estimation
Ti-Fen Pan
Jing-Jing Li
Bill Thompson
Anne Collins
BDL
442
0
0
20 Jun 2024
Evidential Uncertainty Sets in Deep Classifiers Using Conformal
  Prediction
Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction
Hamed Karimi
Reza Samavi
BDLEDLUQCV
63
2
0
16 Jun 2024
Predictive Dynamic Fusion
Predictive Dynamic Fusion
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
81
11
0
07 Jun 2024
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback
Chen Chen
Yuchen Hu
Wen Wu
Helin Wang
Chng Eng Siong
Chao Zhang
93
12
0
02 Jun 2024
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge
  without target domain ground truths
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths
Reihaneh Teimouri
Marta Kersten-Oertel
Yiming Xiao
MedImDiffM
57
1
0
28 May 2024
IM-Context: In-Context Learning for Imbalanced Regression Tasks
IM-Context: In-Context Learning for Imbalanced Regression Tasks
Ismail Nejjar
Faez Ahmed
Olga Fink
91
1
0
28 May 2024
Confidence-aware multi-modality learning for eye disease screening
Confidence-aware multi-modality learning for eye disease screening
K. Zou
Tian Lin
Zongbo Han
Meng Wang
Xuedong Yuan
Haoyu Chen
Changqing Zhang
Xiaojing Shen
Huazhu Fu
96
4
0
28 May 2024
Reliable Source Approximation: Source-Free Unsupervised Domain
  Adaptation for Vestibular Schwannoma MRI Segmentation
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
Hongye Zeng
Ke Zou
Zhihao Chen
Ru Zheng
Huazhu Fu
MedImDiffM
92
7
0
25 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose
  Prediction from Freehand 2D Ultrasound Videos
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Jayroop Ramesh
Nicola K. Dinsdale
INTERGROWTH-21 Consortium
P. Yeung
Ana I. L. Namburete
MedIm
88
4
0
21 May 2024
Wasserstein Gradient Boosting: A General Framework with Applications to
  Posterior Regression
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression
Takuo Matsubara
51
0
0
15 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
Multivariate Bayesian Last Layer for Regression: Uncertainty
  Quantification and Disentanglement
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement
Han Wang
Eiji Kawasaki
Guillaume Damblin
Geoffrey Daniel
BDLUQCVUD
56
0
0
02 May 2024
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal
  Sentiment Space
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space
Zhuyang Xie
Yan Yang
Jie Wang
Xiaorong Liu
Xiaofan Li
78
8
0
13 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
EPL: Evidential Prototype Learning for Semi-supervised Medical Image
  Segmentation
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
EDL
120
2
0
09 Apr 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised
  Medical Image Segmentation
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
Lijian Li
UQCVEDL
93
3
0
09 Apr 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with
  Relative Geometric Consistency
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
Yingjie Xu
Bangzhen Liu
Hao Tang
Bailin Deng
Shengfeng He
63
4
0
26 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression
Probabilistic Calibration by Design for Neural Network Regression
Victor Dheur
Souhaib Ben Taieb
187
4
0
18 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for
  Uncertainty Estimation under Distribution Shifts
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
H. Bui
Anqi Liu
OODBDLUQCV
195
4
0
07 Mar 2024
Uncertainty-Aware Prediction and Application in Planning for Autonomous
  Driving: Definitions, Methods, and Comparison
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
Wenbo Shao
Jiahui Xu
Zhong Cao
Hong Wang
Jun Li
75
5
0
04 Mar 2024
Validation of ML-UQ calibration statistics using simulated reference
  values: a sensitivity analysis
Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis
Pascal Pernot
62
0
0
01 Mar 2024
Training-free image style alignment for self-adapting domain shift on
  handheld ultrasound devices
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices
Hongye Zeng
K. Zou
Zhihao Chen
Yuchong Gao
Hongbo Chen
...
Rick Siow Mong Goh
Yong-Jin Liu
Chang Jiang
Ru Zheng
Huazhu Fu
OOD
102
0
0
17 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
70
9
0
16 Feb 2024
Negative impact of heavy-tailed uncertainty and error distributions on
  the reliability of calibration statistics for machine learning regression
  tasks
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks
Pascal Pernot
80
1
0
15 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep
  Learning Methods?
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Jürgens
Nis Meinert
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCVUDPEREDLBDL
115
15
0
14 Feb 2024
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential
  Reinforcement Learning
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
Alex C. Stutts
Danilo Erricolo
Theja Tulabandhula
A. R. Trivedi
EDLUQCV
94
0
0
11 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning
  a Mirage?
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen
J. Jon Ryu
Soumya Ghosh
Yuheng Bu
P. Sattigeri
Subhro Das
Greg Wornell
EDLBDLUQCV
80
3
0
09 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Florian Bley
Sebastian Lapuschkin
Wojciech Samek
G. Montavon
82
3
0
30 Jan 2024
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in
  Regression
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
Ismail Nejjar
Gaetan Frusque
Florent Forest
Olga Fink
EDL
98
2
0
24 Jan 2024
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning
  for Video Question Answering
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
Haopeng Li
Qiuhong Ke
Mingming Gong
Tom Drummond
95
1
0
03 Jan 2024
One step closer to unbiased aleatoric uncertainty estimation
One step closer to unbiased aleatoric uncertainty estimation
Wang Zhang
Ziwen Ma
Subhro Das
Tsui-Wei Weng
Alexandre Megretski
Lucani E. Daniel
Lam M. Nguyen
68
10
0
16 Dec 2023
uSF: Learning Neural Semantic Field with Uncertainty
uSF: Learning Neural Semantic Field with Uncertainty
Vsevolod Skorokhodov
Darya Drozdova
Dmitry Yudin
119
0
0
13 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
81
2
0
12 Dec 2023
Uncertainty Propagation through Trained Deep Neural Networks Using
  Factor Graphs
Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs
A. Daruna
Yunye Gong
Abhinav Rajvanshi
Han-Pang Chiu
Yi Yao
36
0
0
10 Dec 2023
Second-Order Uncertainty Quantification: A Distance-Based Approach
Second-Order Uncertainty Quantification: A Distance-Based Approach
Yusuf Sale
Viktor Bengs
Michele Caprio
Eyke Hüllermeier
PERUQCVUD
76
23
0
02 Dec 2023
On the Calibration of Human Pose Estimation
On the Calibration of Human Pose Estimation
Kerui Gu
Rongyu Chen
Angela Yao
183
8
0
28 Nov 2023
Evidential Active Recognition: Intelligent and Prudent Open-World
  Embodied Perception
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
Lei Fan
Mingfu Liang
Yunxuan Li
Gang Hua
Ying Wu
97
6
0
23 Nov 2023
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The
  Rate Card Transformer
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
Aditya Sreekar
Berrin Yanıko˘glu
Varun Madhavan
Abhishek Persad
33
0
0
20 Nov 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective
Evidential Uncertainty Quantification: A Variance-Based Perspective
Ruxiao Duan
B. Caffo
Harrison X. Bai
Haris I. Sair
Craig K. Jones
UDEDLUQCVBDLPER
95
14
0
19 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty
  Transmission
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
Jianfeng He
Linlin Yu
Shuo Lei
Chang-Tien Lu
Feng Chen
UQLM
57
10
0
15 Nov 2023
Ensemble models outperform single model uncertainties and predictions
  for operator-learning of hypersonic flows
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
Victor J. Leon
Noah Ford
Honest Mrema
Jeffrey Gilbert
Alexander New
UQCVAI4CE
43
0
0
31 Oct 2023
Distil the informative essence of loop detector data set: Is
  network-level traffic forecasting hungry for more data?
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?
Guopeng Li
V. Knoop
J. W. C.
J. V. Lint
67
1
0
31 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty
  Estimation
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
Tianhao Zhang
Shenglin Wang
N. Bouaynaya
R. Calinescu
Lyudmila Mihaylova
OODD
69
2
0
29 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual
  Localization
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
Le Chen
Weirong Chen
Rui Wang
Marc Pollefeys
UQCV
86
10
0
10 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational
  Autoencoders
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
Gulcin Baykal
M. Kandemir
Gözde B. Ünal
69
13
0
09 Oct 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot
  Density Estimation
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu
Jiajun He
Chuxu Zhang
P. Woodland
62
1
0
30 Sep 2023
Reliability Quantification of Deep Reinforcement Learning-based Control
Reliability Quantification of Deep Reinforcement Learning-based Control
Hitoshi Yoshioka
Hirotada Hashimoto
66
0
0
29 Sep 2023
Uncertainty Quantification via Neural Posterior Principal Components
Uncertainty Quantification via Neural Posterior Principal Components
E. Nehme
Omer Yair
T. Michaeli
UQCV
93
14
0
27 Sep 2023
Detecting and Mitigating System-Level Anomalies of Vision-Based
  Controllers
Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers
Aryaman Gupta
Kaustav Chakraborty
Somil Bansal
86
6
0
23 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation
  for Earth System Science Applications
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
John S. Schreck
D. Gagne
Charlie Becker
William E. Chapman
K. Elmore
...
Vanessa M. Pryzbylo
Jacob T. Radford
B. Saavedra
Justin Willson
Christopher D. Wirz
BDLUDOODUQCVEDL
37
9
0
22 Sep 2023
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