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Evidential Deep Learning to Quantify Classification Uncertainty
v1v2v3 (latest)

Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018
Murat Sensoy
Lance M. Kaplan
M. Kandemir
    OODUQCVEDLBDL
ArXiv (abs)PDFHTML

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 575 papers shown
Query-based Hard-Image Retrieval for Object Detection at Test Time
Query-based Hard-Image Retrieval for Object Detection at Test TimeAAAI Conference on Artificial Intelligence (AAAI), 2022
Edward W. Ayers
Jonathan Sadeghi
John Redford
Romain Mueller
P. Dokania
236
2
0
23 Sep 2022
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling
  of Perception Error Models
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error ModelsIEEE International Conference on Robotics and Automation (ICRA), 2022
Craig Innes
S. Ramamoorthy
AAML
180
16
0
20 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Mohit Prabhushankar
Ghassan AlRegib
291
22
0
17 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain
  Generalization
Mitigating Both Covariate and Conditional Shift for Domain GeneralizationInternational Conference on Cloud Computing and Intelligence Systems (ICCCIS), 2022
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
205
3
0
17 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification
  Uncertainty Quantification
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
Wei Shen
Denis Xavier Charles
UQCVEDL
219
3
0
12 Sep 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
Segmenting Known Objects and Unseen Unknowns without Prior KnowledgeIEEE International Conference on Computer Vision (ICCV), 2022
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
327
10
0
12 Sep 2022
Consistency-Based Semi-supervised Evidential Active Learning for
  Diagnostic Radiograph Classification
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Shafa Balaram
C. Nguyen
Ashraf Kassim
Pavitra Krishnaswamy
EDL
194
16
0
05 Sep 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey
Correct-by-Construction Runtime Enforcement in AI -- A Survey
Bettina Könighofer
Roderick Bloem
Rüdiger Ehlers
Christian Pek
176
13
0
30 Aug 2022
Uncertainty-Induced Transferability Representation for Source-Free
  Unsupervised Domain Adaptation
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2022
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Liang Chen
Yang Liu
Qingchao Chen
237
33
0
30 Aug 2022
Towards Open Set Video Anomaly Detection
Towards Open Set Video Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2022
Yuansheng Zhu
Wentao Bao
Qi Yu
EDL
160
38
0
23 Aug 2022
Deep Generative Views to Mitigate Gender Classification Bias Across
  Gender-Race Groups
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran
A. Rattani
FaML
217
18
0
17 Aug 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
EDLOODUQCV
168
49
0
11 Aug 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network
  Prediction
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network PredictionEuropean Conference on Computer Vision (ECCV), 2022
Hu Wang
Jianpeng Zhang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
UQCV
184
24
0
22 Jul 2022
Towards Confident Detection of Prostate Cancer using High Resolution
  Micro-ultrasound
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasoundInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Mahdi Gilany
P. Wilson
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
74
13
0
21 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification
Bayesian Evidential Learning for Few-Shot Classification
Xiongkun Linghu
Yan Bai
Yihang Lou
Shengsen Wu
Jinze Li
Jianzhong He
Tao Bai
BDLEDLUQCV
147
2
0
19 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Sample-dependent Adaptive Temperature Scaling for Improved CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2022
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
252
45
0
13 Jul 2022
Embedding contrastive unsupervised features to cluster in- and
  out-of-distribution noise in corrupted image datasets
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasetsEuropean Conference on Computer Vision (ECCV), 2022
Paul Albert
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
177
10
0
04 Jul 2022
Incorporating functional summary information in Bayesian neural networks
  using a Dirichlet process likelihood approach
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Vishnu Raj
Tianyu Cui
Markus Heinonen
Pekka Marttinen
UQCVBDL
154
1
0
04 Jul 2022
Uncertainty-aware Panoptic Segmentation
Uncertainty-aware Panoptic SegmentationIEEE Robotics and Automation Letters (RA-L), 2022
Kshitij Sirohi
Sajad Marvi
Daniel Buscher
Wolfram Burgard
EDLUQCV
204
30
0
29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
298
39
0
29 Jun 2022
Towards OOD Detection in Graph Classification from Uncertainty
  Estimation Perspective
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective
Gleb Bazhenov
Sergei Ivanov
Maxim Panov
Alexey Zaytsev
Evgeny Burnaev
UQCV
231
13
0
21 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation
TBraTS: Trusted Brain Tumor SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Ke Zou
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCVOOD
172
74
0
19 Jun 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibilityComputer Vision and Pattern Recognition (CVPR), 2022
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
296
1
0
16 Jun 2022
Epistemic Deep Learning
Epistemic Deep Learning
Shireen Kudukkil Manchingal
Fabio Cuzzolin
UQCVBDLEDLFedMLUD
175
7
0
15 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision
  Making: Belief Theory Meets Deep Learning
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo
Zelin Wan
Qisheng Zhang
Xujiang Zhao
F. Chen
Jin-Hee Cho
Qi Zhang
Lance M. Kaplan
Dong-Ho Jeong
A. Jøsang
UQCVEDL
267
13
0
12 Jun 2022
BSM loss: A superior way in modeling aleatory uncertainty of
  fine_grained classification
BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification
Shuang Ge
Kehong Yuan
Maokun Han
Desheng Sun
Huabin Zhang
Qiongyu Ye
UQCV
121
0
0
09 Jun 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Christoph Koller
Goran Kauermann
Xiao Xiang Zhu
UQCV
154
6
0
30 May 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case
  Study on COVID-19 Chest X-ray Image
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray ImagePLoS ONE (PLoS ONE), 2022
Lucy Nwosu
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
245
4
0
27 May 2022
Evidential Temporal-aware Graph-based Social Event Detection via
  Dempster-Shafer Theory
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
Jiaqian Ren
Lei Jiang
Hao Peng
Zhiwei Liu
Hongzhi Zhang
Philip S. Yu
188
12
0
24 May 2022
On the Calibration of Probabilistic Classifier Sets
On the Calibration of Probabilistic Classifier SetsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Thomas Mortier
Viktor Bengs
Eyke Hüllermeier
Stijn Luca
Willem Waegeman
UQCV
246
8
0
20 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2022
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCVEDL
640
51
0
20 May 2022
Uncertainty-aware Personal Assistant for Making Personalized Privacy
  Decisions
Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions
Gonul Ayci
Murat Sensoy
Arzucan Özgür
P. Yolum
376
18
0
13 May 2022
A Survey on Uncertainty Toolkits for Deep Learning
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz
Joachim Sicking
Maximilian Poretschkin
Maram Akila
ELM
277
7
0
02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessJournal of machine learning research (JMLR), 2022
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCVBDL
489
66
0
01 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Trusted Multi-View Classification with Dynamic Evidential FusionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
EDL
304
353
0
25 Apr 2022
Learning by Erasing: Conditional Entropy based Transferable
  Out-Of-Distribution Detection
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Meng Xing
Zhiyong Feng
Yong Su
Changjae Oh
OODD
193
4
0
23 Apr 2022
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operatorsNature Computational Science (Nat. Comput. Sci.), 2022
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
231
73
0
05 Apr 2022
Autoencoder Attractors for Uncertainty Estimation
Autoencoder Attractors for Uncertainty EstimationInternational Conference on Pattern Recognition (ICPR), 2022
S. Cruz
B. Taetz
Thomas Stifter
D. Stricker
UQCV
257
10
0
01 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Expanding Low-Density Latent Regions for Open-Set Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Jiaming Han
Yuqiang Ren
Jian Ding
Xingjia Pan
Ke Yan
Guisong Xia
ObjD
276
79
0
28 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Multidimensional Belief Quantification for Label-Efficient Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
UQCV
157
15
0
23 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations,
  and Challenges
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINNAI4CE
334
40
0
23 Mar 2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
267
24
0
16 Mar 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss
  Minimisation
Pitfalls of Epistemic Uncertainty Quantification through Loss MinimisationNeural Information Processing Systems (NeurIPS), 2022
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
EDLUQCVUD
320
53
0
11 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action LocalizationComputer Vision and Pattern Recognition (CVPR), 2022
Wentao Bao
Qi Yu
Yu Kong
EDL
200
35
0
10 Mar 2022
Fast Road Segmentation via Uncertainty-aware Symmetric Network
Fast Road Segmentation via Uncertainty-aware Symmetric NetworkIEEE International Conference on Robotics and Automation (ICRA), 2022
Yicong Chang
Feng Xue
Fei Sheng
Wenteng Liang
Anlong Ming
EDLUQCV
219
48
0
09 Mar 2022
Deep Dirichlet uncertainty for unsupervised out-of-distribution
  detection of eye fundus photographs in glaucoma screening
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening
Teresa Araújo
Guilherme Aresta
Hrvoje Bogunović
UQCVOOD
130
4
0
25 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
Reducing Overconfidence Predictions for Autonomous Driving PerceptionIEEE Access (IEEE Access), 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
341
13
0
16 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural NetworkNeural Information Processing Systems (NeurIPS), 2022
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCVBDL
190
43
0
07 Feb 2022
SEED: Sound Event Early Detection via Evidential Uncertainty
SEED: Sound Event Early Detection via Evidential UncertaintyIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Wenchao Yu
Yuncong Chen
Haifeng Chen
F. Chen
EDL
202
11
0
05 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Deebul Nair
Nico Hochgeschwender
Miguel A. Olivares-Mendez
OOD
238
9
0
03 Feb 2022
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