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1910.02600
Cited By
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Deep Evidential Regression
7 October 2019
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDL
PER
BDL
UD
UQCV
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Papers citing
"Deep Evidential Regression"
50 / 205 papers shown
Title
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63
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CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths
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Confidence-aware multi-modality learning for eye disease screening
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Meng Wang
Xuedong Yuan
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Xiaojing Shen
Huazhu Fu
96
4
0
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Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
Hongye Zeng
Ke Zou
Zhihao Chen
Ru Zheng
Huazhu Fu
MedIm
DiffM
92
7
0
25 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
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Nicola K. Dinsdale
INTERGROWTH-21 Consortium
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Ana I. L. Namburete
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88
4
0
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Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression
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The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
96
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Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement
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Guillaume Damblin
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UD
56
0
0
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Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space
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Yan Yang
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78
8
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Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
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EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
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120
2
0
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Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
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Lijian Li
UQCV
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93
3
0
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Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
Yingjie Xu
Bangzhen Liu
Hao Tang
Bailin Deng
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0
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Probabilistic Calibration by Design for Neural Network Regression
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195
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5
0
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Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis
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62
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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
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OOD
102
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17 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
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70
9
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Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks
Pascal Pernot
80
1
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Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
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Nis Meinert
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
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UD
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115
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Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
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94
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Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
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J. Jon Ryu
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Yuheng Bu
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UQCV
80
3
0
09 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects
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Wojciech Samek
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30 Jan 2024
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
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98
2
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24 Jan 2024
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
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1
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One step closer to unbiased aleatoric uncertainty estimation
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Lam M. Nguyen
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uSF: Learning Neural Semantic Field with Uncertainty
Vsevolod Skorokhodov
Darya Drozdova
Dmitry Yudin
119
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Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
81
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0
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Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs
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36
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Second-Order Uncertainty Quantification: A Distance-Based Approach
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76
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183
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Evidential Uncertainty Quantification: A Variance-Based Perspective
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PER
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Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
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Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
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Out-of-distribution Object Detection through Bayesian Uncertainty Estimation
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OODD
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Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
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EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
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Uncertainty Quantification via Neural Posterior Principal Components
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Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
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...
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0
22 Sep 2023
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