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Evidential Deep Learning to Quantify Classification Uncertainty

Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018
Murat Sensoy
Lance M. Kaplan
M. Kandemir
    OOD
    UQCV
    EDL
    BDL
ArXivPDFHTML

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 487 papers shown
Title
Evidential uncertainty sampling for active learning
Evidential uncertainty sampling for active learning
A. Hoarau
V. Lemaire
Arnaud Martin
Jean-Christophe Dubois
Y. Gall
UQCV
EDL
PER
UD
26
1
0
21 Sep 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making
Using AI Uncertainty Quantification to Improve Human Decision-Making
L. Marusich
J. Bakdash
Yan Zhou
Murat Kantarcioglu
29
3
0
19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
26
5
0
19 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
31
4
0
14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware
  Machine-learning-assisted Histopathology
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
MedIm
UQCV
41
0
0
13 Sep 2023
Deep evidential fusion with uncertainty quantification and contextual
  discounting for multimodal medical image segmentation
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
EDL
MedIm
25
1
0
12 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODD
EDL
22
7
0
06 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition
SOAR: Scene-debiasing Open-set Action Recognition
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
Yi Wu
Chunluan Zhou
David Doermann
Junsong Yuan
Gang Hua
21
11
0
03 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration
  for Classification of Cardiac MR Images
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images
Tareen Dawood
Chia-Ju Chen
B. Sidhu
B. Ruijsink
J. Gould
...
Vishal S. Mehta
C. Rinaldi
Esther Puyol-Antón
Reza Razavi
A. King
OOD
30
10
0
29 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression
Deep Evidential Learning for Bayesian Quantile Regression
F. B. Hüttel
Filipe Rodrigues
Francisco Câmara Pereira
UD
EDL
BDL
UQCV
15
5
0
21 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty
  Quantification on Regression
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu
Gianni Franchi
Jindong Gu
Emanuel Aldea
UQCV
16
4
0
17 Aug 2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Sk Aziz Ali
Djamila Aouada
Gerd Reis
D. Stricker
21
3
0
14 Aug 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for
  Severe Label Noise
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar
Minh Nguyen Nhat To
P. Mousavi
Purang Abolmaesumi
NoLa
32
4
0
13 Aug 2023
Defensive Perception: Estimation and Monitoring of Neural Network
  Performance under Deployment
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment
Hendrik Vogt
Stefan A. Buehler
Mark Schutera
8
0
0
11 Aug 2023
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
22
0
01 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty
  Estimation for Adversarial Robustness
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
Ruoxi Qin
Linyuan Wang
Xuehui Du
Xing-yuan Chen
Binghai Yan
AAML
26
0
0
01 Aug 2023
Uncertainty-aware Unsupervised Multi-Object Tracking
Uncertainty-aware Unsupervised Multi-Object Tracking
Kai Liu
Sheng Jin
Zhihang Fu
Ze Chen
Rongxin Jiang
Jieping Ye
VOT
MQ
29
8
0
28 Jul 2023
Continuous Time Evidential Distributions for Irregular Time Series
Continuous Time Evidential Distributions for Irregular Time Series
Taylor W. Killian
Haoran Zhang
Thomas Hartvigsen
Ava P. Amini
OOD
EDL
39
0
0
25 Jul 2023
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real
  Transfer for Traffic Signal Control
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control
Longchao Da
Hao Mei
Romir Sharma
Hua Wei
36
2
0
23 Jul 2023
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised
  Medical Image Segmentation
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Yingyu Chen
Ziyuan Yang
Chenyu Shen
Zhiwen Wang
Yang Qin
Yi Zhang
EDL
UQCV
36
8
0
18 Jul 2023
Function-Space Regularization for Deep Bayesian Classification
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCV
BDL
41
1
0
12 Jul 2023
A Multi-view Impartial Decision Network for Frontotemporal Dementia
  Diagnosis
A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis
Guoyao Deng
K. Zou
Meng Wang
Xuedong Yuan
S. Ying
Huazhu Fu
37
0
0
11 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty
  Quantification and Calibration
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
23
16
0
03 Jul 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware
  Prostate Cancer Classification
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Meng Zhou
A. Jamzad
J. Izard
A. Menard
R. Siemens
P. Mousavi
MedIm
51
0
0
02 Jul 2023
Evidential Detection and Tracking Collaboration: New Problem, Benchmark
  and Algorithm for Robust Anti-UAV System
Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System
Xuefeng Zhu
Tian-Hao Xu
Jian-jun Zhao
Jiawen Liu
Kai Wang
...
Qiang Wang
Lei Jin
Zhengyu Zhu
Junliang Xing
Xiaojun Wu
37
9
0
27 Jun 2023
A Reliable and Interpretable Framework of Multi-view Learning for Liver
  Fibrosis Staging
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging
Zheyao Gao
Yuanye Liu
Fuping Wu
N. Shi
Yuxin Shi
Xiahai Zhuang
EDL
19
11
0
21 Jun 2023
Computing a human-like reaction time metric from stable recurrent vision
  models
Computing a human-like reaction time metric from stable recurrent vision models
L. Goetschalckx
L. Govindarajan
A. Ashok
A. Ahuja
David L. Sheinberg
Thomas Serre
30
7
0
20 Jun 2023
Learn to Accumulate Evidence from All Training Samples: Theory and
  Practice
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deepshikha Pandey
Qi Yu
EDL
27
16
0
19 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models
MUBen: Benchmarking the Uncertainty of Molecular Representation Models
Yinghao Li
Lingkai Kong
Yuanqi Du
Yue Yu
Yuchen Zhuang
Wenhao Mu
Chao Zhang
32
9
0
14 Jun 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential
  Regression
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
Wen Wu
C. Zhang
P. Woodland
UQCV
UD
EDL
22
11
0
11 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Minlie Huang
Bingzhe Wu
BDL
31
34
0
05 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
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Hamed Karimi
Reza Samavi
UQCV
11
9
0
01 Jun 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang
Mengting Hu
Shiwan Zhao
Minlie Huang
Haotian Wang
Lemao Liu
Zhirui Zhang
Zhe Liu
Bingzhe Wu
EDL
38
10
0
29 May 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
Carlos Rodriguez-Pardo
Henar Dominguez-Elvira
David Pascual-Hernández
Elena Garces
22
15
0
25 May 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image
  Segmentation
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Ran Ran
Chunna Tian
Heng Zhou
Fan Yang
Xin Li
Zhicheng Jiao
31
2
0
25 May 2023
Gaussian Latent Representations for Uncertainty Estimation using
  Mahalanobis Distance in Deep Classifiers
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
A. Venkataramanan
Assia Benbihi
Martin Laviale
C´edric Pradalier
UQCV
39
7
0
23 May 2023
Lightweight Delivery Detection on Doorbell Cameras
Lightweight Delivery Detection on Doorbell Cameras
Pirazh Khorramshahi
Zhe Wu
Tianchen Wang
Luke Deluccia
Hongcheng Wang
14
0
0
13 May 2023
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based
  Uncertainty
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
Chuanfei Hu
Tianyi Xia
Yingwei Cui
Quchen Zou
Yuan-Cheng Wang
Wenbo Xiao
Shenghong Ju
Xinde Li
EDL
19
30
0
09 May 2023
UQ for Credit Risk Management: A deep evidence regression approach
UQ for Credit Risk Management: A deep evidence regression approach
Ashish Dhiman
19
0
0
08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
33
75
0
07 May 2023
Inferential Moments of Uncertain Multivariable Systems
Inferential Moments of Uncertain Multivariable Systems
Junheng Li
28
1
0
03 May 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic
  Segmentation
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation
Jacob Deery
Chang Won Lee
Steven Waslander
26
2
0
17 Apr 2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View
  Classification
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
Mengyao Xie
Zongbo Han
Changqing Zhang
Yichen Bai
Qinghua Hu
UQCV
EDL
89
15
0
11 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OOD
UQCV
35
0
0
04 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
29
8
0
04 Apr 2023
Uncertainty Propagation in Node Classification
Uncertainty Propagation in Node Classification
Zhao Xu
Carolin (Haas) Lawrence
Ammar Shaker
Raman Siarheyeu
BDL
UQCV
50
2
0
03 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
AI4TS
31
2
0
23 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised
  Learning
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Yang Yu
Danruo Deng
Fu-Lun Liu
Yueming Jin
Qi Dou
Guangyong Chen
Pheng-Ann Heng
EDL
BDL
35
3
0
21 Mar 2023
Uncertainty-aware U-Net for Medical Landmark Detection
Uncertainty-aware U-Net for Medical Landmark Detection
Ziyang Ye
Haiyang Yu
Bin Li
8
2
0
18 Mar 2023
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