Awesome Evidential Deep Learning
A curated publication list on evidential deep learning.
This repository was built to facilitate navigating the mainstream on evidential deep learning *.
Last updated: 2024/08
ID
Year
Venue
Title
PDF
1
2022
arXiv
A survey on uncertainty reasoning and quantification for decision making: Belief theory meets deep learning
2
2022
IJCAI
Evidential reasoning and learning: a survey
3
2023
TMLR
Prior and posterior networks: A survey on evidential deep learning methods for uncertainty estimation
4
2024
arXiv
A comprehensive survey on evidential deep learning and its applications
Reformulating Evidence Collection Process
ID
Year
Venue
Abbr
Title
PDF
Code
1
2017
NeurIPS
EDL
Evidential deep learning to quantify classification uncertainty
2
2023
ICML
RED
Learn to accumulate evidence from all training samples: Theory and practice
3
2023
ICML
I-EDL
Uncertainty estimation by fisher information-based evidential deep learning
4
2023
AAAI
-
Post-hoc uncertainty learning using a dirichlet meta-model
-
5
2024
ICLR
R-EDL
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
6
2024
ICLR
Hyper EDL
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Improving Uncertainty Estimation via OOD Samples
ID
Year
Venue
Abbr
Title
PDF
Code
1
2019
arXiv
-
Quantifying classification uncertainty using regularized evidential neural networks
Dropbox
2
2020
AAAI
GEN
Uncertainty-aware deep classifiers using generative models
Ipynb
3
2021
AAAI
WENN
Multidimensional uncertainty-aware evidential neural networks
4
2023
Sci Rep
m-EDL
Learning and predicting the unknown class using evidential deep learning
5
2023
KDD
-
Knowledge from uncertainty in evidential deep learning
-
Delving into Different Training Strategies
ID
Year
Venue
Abbr
Title
PDF
Code
1
2019
AABI
BEDL
Bayesian evidential deep learning with PAC regularization
-
2
2021
WACV
Risk EDL
Misclassification risk and uncertainty quantification in deep classifiers
-
3
2022
arXiv
TEDL
Tedl: A two-stage evidential deep learning method for classification uncertainty quantification
-
4
2022
NeurIPS Workshop
Hybrid-EDL
Hybrid-edl: Improving evidential deep learning for uncertainty quantification on imbalanced data
5
2022
CVPR
Units-ML
Multidimensional belief quantification for label-efficient meta-learning
-
6
2022
ICLR
ETP
Evidential Turing Processes
Deep evidential regression
ID
Year
Venue
Abbr
Title
PDF
Code
1
2020
NeurIPS
DER
Deep evidential regression
2
2021
arXiv
MDER
Multivariate deep evidential regression
-
3
2021
NeurIPS
MoNIG
Trustworthy multimodal regression with mixture of normal-inverse gamma distributions
4
2022
AAAI
MT-ENet
Improving evidential deep learning via multi-task learning
5
2023
AAAI
-
The unreasonable effectiveness of deep evidential regression
6
2023
AAAI
ECNP
Evidential conditional neural processes
-
7
2024
AAAI
-
The evidence contraction issue in deep evidential regression: Discussion and solution
8
2024
AAAI
UR-ERN
Uncertainty regularized evidential regression
-
9
2024
WACV
DUC-VAR
Evidential uncertainty quantification: A variance-based perspective
EDL Enhanced Machine Learning
Weakly Supervised Learning
ID
Year
Venue
Abbr
Title
PDF
Code
1
2022
ECCV
DELU
Dual-evidential learning for weakly-supervised temporal action localization
2
2022
ECCV
OpenVAD
Towards open set video anomaly detection
3
2023
CVPR
CELL
Cascade Evidential Learning for Open-world Weakly-supervised Temporal Action Localization
4
2023
CVPR
CMPAE
Collecting cross-modal presence-absence evidence for weakly-supervised audio-visual event perception
5
2023
TPAMI
VEL
Vectorized Evidential Learning for Weakly-supervised Temporal Action Localization
-
6
2024
ICML
MIREL
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
ID
Year
Venue
Abbr
Title
PDF
Code
1
2021
CVPR
DECISION
Unsupervised multi-source domain adaptation without access to source data
2
2022
OpenReview
-
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation
-
3
2022
arXiv
BEL
Bayesian evidential learning for few-shot classification
-
4
2022
AAAI
TNT
Evidential neighborhood contrastive learning for universal domain adaptation
-
5
2023
ICCV
CEDL
Continual Evidential Deep Learning for Out-of-Distribution Detection
6
2024
CVPR
FEAL
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
7
2024
TPAMI
EAAF
Evidential Multi-Source-Free Unsupervised Domain Adaptation
8
2024
OpenReview
BKD
Bayesian Knowledge Distillation for Online Action Detection
-
9
2024
arXiv
UGA
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
-
10
2024
CVPR
MADA
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
ID
Year
Venue
Abbr
Title
PDF
Code
1
2022
MICCAI
CSEAL
Consistency-based semi-supervised evidential active learning for diagnostic radiograph classification
-
2
2023
ICLR
MEH + HUA
Active learning for object detection with evidential deep learning and hierarchical uncertainty aggregation
3
2023
ICLR
EDAL
Evidential uncertainty and diversity guided active learning for scene graph generation
-
4
2023
NeurIPS
ADL
Multifaceted uncertainty estimation for label-efficient deep learning
-
5
2023
Deep Learning Applications
Deal
Deal: Deep evidential active learning for image classification
-
6
2024
CVPR
---
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
-
Multi-View Classification
ID
Year
Venue
Abbr
Title
PDF
Code
1
2022
TPAMI
TMC/ETMC
Trusted multi-view classification with dynamic evidential fusion
2
2022
TII
EMDL
Uncertainty-aware multiview deep learning for internet of things applications
-
3
2023
CVPR
UIMC
Exploring and exploiting uncertainty for incomplete multi-view classification
-
4
2023
ICLR
VS-FLEF
MULTI-VIEW DEEP EVIDENTIAL FUSION NEURAL NETWORK FOR ASSESSMENT OF SCREENING MAMMOGRAMS
-
5
2023
MICCAI
---
A reliable and interpretable framework of multi-view learning for liver fibrosis staging
-
6
2023
Remote Sensing
---
Credible remote sensing scene classification using evidential fusion on aerial-ground dual-view images
-
7
2024
AAAI
---
Reliable conflictive multi-view learning
ID
Year
Venue
Abbr
Title
PDF
Code
1
2022
ICASSP
PENet
Seed: Sound event early detection via evidential uncertainty
-
2
2023
CVPR
MULE
Open set action recognition via multi-label evidential learning
3
2023
Artificial Intelligence
---
DEED: DEep Evidential Doctor
4
2023
ICASSP
TMSDC
Towards trustworthy multi-label sewer defect classification via evidential deep learning
-
5
2023
ICASSP
MTENN
Multi-Label Temporal Evidential Neural Networks for Early Event Detection
-
ID
Year
Venue
Abbr
Title
PDF
Code
1
2023
ICML
DTS-ERA
Deep temporal sets with evidential reinforced attentions for unique behavioral pattern discovery
2
2023
NeurIPS
FGRM
Uncertainty estimation for safety-critical scene segmentation via fine-grained reward maximization
ID
Year
Venue
Abbr
Title
PDF
Code
1
2020
NeurIPS
GKDE
Uncertainty aware semi-supervised learning on graph data
2
2024
ICLR
-
Uncertainty-aware Graph-based Hyperspectral Image Classification
EDL in Downstream Applications
ID
Year
Venue
Abbr
Title
PDF
Code
1
2019
MICCAI
-
Quantifying and leveraging classification uncertainty for chest radiograph assessment
-
2
2021
ICCV
DEAR
Evidential Deep Learning for Open Set Action Recognition
3
2022
MM
-
Uncertainty-aware 3d human pose estimation from monocular video
-
4
2022
Cognitive Computation
EviDCNN-3WC
Three-way image classification with evidential deep convolutional neural networks
-
5
2022
CVPR
OpenTAL
Opental: Towards open set temporal action localization
6
2022
MM
-
Evidential Reasoning for Video Anomaly Detection
-
7
2022
Pattern Recognition
-
Uncertainty estimation for stereo matching based on evidential deep learning
-
8
2022
MICCAI
TBraTS
Tbrats: Trusted brain tumor segmentation
-
9
2023
IEEE RAL
EvPSNet
Uncertainty-aware panoptic segmentation
-
10
2023
MM
FOOD
HSIC-based Moving Weight Averaging for Few-Shot Open-Set Object Detection
11
2023
MICCAI
UML
Uncertainty-informed mutual learning for joint medical image classification and segmentation
-
12
2023
ICCV
ELF
ELFNet: Evidential Local-global Fusion for Stereo Matching
13
2023
MM
-
Learning Discriminative Feature Representation for Open Set Action Recognition
-
14
2024
AAAI
EUMS-3D
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
-
15
2024
TGRS
SSEL
Spectral-Spatial Evidential Learning Network for Open-Set Hyperspectral Image Classification
-
Natural Language Processing
ID
Year
Venue
Abbr
Title
PDF
Code
1
2022
ICWS
ETGNN
Evidential temporal-aware graph-based social event detection via dempster-shafer theory
-
2
2023
ACL Findings
E-NER
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
3
2024
IEEE Trans Knowl Data Eng
UCL-SED
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
ID
Year
Venue
Abbr
Title
PDF
Code
1
2021
NeurIPS
MoNIG
Trustworthy multimodal regression with mixture of normal-inverse gamma distributions
2
2022
ICRA
USNet
Fast road segmentation via uncertainty-aware symmetric network
3
2022
IJRA
DEF
Deep evidential fusion network for medical image classification
-
4
2022
MM
DECL
Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval
5
2023
NeurIPS
PAU
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
6
2023
MM
DCEL
DCEL: Deep Cross-modal Evidential Learning for Text-Based Person Retrieval
-
8
2023
arXiv
-
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
-
9
2024
Information Fusion
DDEF
Dual-level Deep Evidential Fusion: Integrating multimodal information for enhanced reliable decision-making in deep learning
-
ID
Year
Venue
Abbr
Title
PDF
Code
1
2019
IVS
-
Deep, spatially coherent inverse sensor models with uncertainty incorporation using the evidential framework
-
2
2021
ICRA
-
Efficient and robust lidar-based end-to-end navigation
-
3
2022
ICRA
-
Robust monocular localization in sparse hd maps leveraging multi-task uncertainty estimation
-
4
2023
Arxiv
-
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?
-
5
2023
ICCV
DELO
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
-
6
2023
T-RO
EVORA
Evora: Deep evidential traversability learning for risk-aware off-road autonomy
7
2023
CoRL
-
Interpretable self-aware neural networks for robust trajectory prediction
8
2023
AAAI
TrEP
Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty
ID
Year
Venue
Abbr
Title
PDF
Code
1
2023
TII
-
Trustworthy fault diagnosis with uncertainty estimation through evidential convolutional neural networks
-
2
2023
ICLR
AREO
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data
3
2023
AAAI
ANEDL
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
-
4
2024
ICML
MET
Meta Evidential Transformer for Few-Shot Open-Set Recognition
5
2024
AAAI
EOD
Towards Evidential and Class Separable Open Set Object Detection
ID
Year
Venue
Abbr
Title
PDF
Code
1
2021
ACS Central Science
-
Evidential deep learning for guided molecular property prediction and discovery
2
2021
NeurIPS
-
Evaluating Deep Learning Uncertainty Quantification Methods for Neutrino Physics Applications
-
3
2022
ICML
-
Evidential interactive learning for medical image captioning
4
2022
TBME
FCNN
Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning
-
5
2022
npj Digital Medicine
ARISES
Enhancing self-management in type 1 diabetes with wearables and deep learning
-
6
2022
IoTJ
-
IoMT-enabled real-time blood glucose prediction with deep learning and edge computing
-
7
2023
npj Computational Materials
-
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
8
2023
Arxiv
Eviprompt
Eviprompt: A training-free evidential prompt generation method for segment anything model in medical images
-
9
2024
Arxiv
-
Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces
-
If you have any suggestions or find missing papers, please feel free to contact me.