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.