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Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma
  Distributions

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions

11 November 2021
Huan Ma
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
Q. Hu
    EDL
    UQCV
ArXivPDFHTML

Papers citing "Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions"

25 / 25 papers shown
Title
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
54
1
0
01 Oct 2024
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion
Shijing Wang
Yaping Huang
Jun Xie
YiTian
Feng Chen
Zhepeng Wang
41
1
0
07 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
47
5
0
07 Sep 2024
Gaussian Mixture based Evidential Learning for Stereo Matching
Gaussian Mixture based Evidential Learning for Stereo Matching
Weide Liu
Xingxing Wang
Lu Wang
Jun Cheng
Fayao Liu
Xulei Yang
26
0
0
05 Aug 2024
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
Jiyao Liu
Yuxin Li
Yuxin Li
Lihao Liu
Xin Gao
...
Yanzhou Su
Xuanyang Zhang
Junjun He
Ningsheng Xu
Xiahai Zhuang
MedIm
28
1
0
10 Jul 2024
Predictive Dynamic Fusion
Predictive Dynamic Fusion
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
39
8
0
07 Jun 2024
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
Qingyang Zhang
Yake Wei
Zongbo Han
Huazhu Fu
Xi Peng
...
Qinghua Hu
Cai Xu
Jie Wen
Di Hu
Changqing Zhang
57
26
0
27 Apr 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
37
6
0
13 Apr 2024
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking
  Subnetworks
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks
Yang Yang
Hongpeng Pan
Qingjun Jiang
Yi Tian Xu
Jinghui Tang
29
4
0
12 Apr 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
UQCV
UD
PER
EDL
BDL
29
11
0
14 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning
  a Mirage?
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen
Jeonghun Ryu
Soumya Ghosh
Yuheng Bu
P. Sattigeri
Subhro Das
Greg Wornell
EDL
BDL
UQCV
36
2
0
09 Feb 2024
ELFNet: Evidential Local-global Fusion for Stereo Matching
ELFNet: Evidential Local-global Fusion for Stereo Matching
Jieming Lou
Weide Liu
Zhu Chen
Fayao Liu
Jun Cheng
12
23
0
01 Aug 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
Provable Dynamic Fusion for Low-Quality Multimodal Data
Qingyang Zhang
Haitao Wu
Changqing Zhang
Qinghua Hu
Huazhu Fu
Qiufeng Wang
Xi Peng
37
56
0
03 Jun 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
dugMatting: Decomposed-Uncertainty-Guided Matting
Jiawei Wu
Changqing Zhang
Zuoyong Li
Huazhu Fu
Xi Peng
Qiufeng Wang
38
5
0
02 Jun 2023
Reweighted Mixup for Subpopulation Shift
Reweighted Mixup for Subpopulation Shift
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
...
P. Zhao
Qinghua Hu
Bing Wu
Changqing Zhang
Jianhua Yao
34
3
0
09 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal
  Uncertainty Estimation
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
M. Jung
He Zhao
Joanna Dipnall
Lan Du
UQCV
BDL
32
8
0
04 Apr 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
49
86
0
16 Feb 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
UQCV
212
25
0
30 Jan 2023
Improving Uncertainty Quantification of Variance Networks by
  Tree-Structured Learning
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning
Wenxuan Ma
Xing Yan
Kun Zhang
UQCV
26
0
0
24 Dec 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Belinda Gabbe
Lan Du
UQCV
EDL
57
12
0
06 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via
  Uncertainty-Aware Mixup
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
56
34
0
19 Sep 2022
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
183
124
0
29 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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