Awesome Evidential Deep Learning

A curated publication list on evidential deep learning.

This repository is designed to help researchers and enthusiasts explore the latest advancements and mainstream developments in evidential deep learning.

Feel free to reach out and share the latest relevant work in the field of EDL to help further enrich this repository.

Last updated: 2025/01

Table of Contents

• Surveys
• Theoretical Explorations
  • Reformulating Evidence Collection Process
  • Improving Uncertainty Estimation via OOD Samples
  • Delving into Different Training Strategies
  • Deep Evidential Regression
• EDL Enhanced Machine Learning
  • Weakly Supervised Learning
  • Transfer Learning
  • Active Learning
  • Multi-View Classification
  • Multi-label Learning
  • Reinforcement Learning
  • Graph Neural Network
• EDL in Downstream Applications
  • Computer Vision
  • Natural Language Processing
  • Audio Processing
  • Cross-modal Learning
  • Automatic Driving
  • EDL in the Open-World
  • EDL for Science
• Feedback

Surveys

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

Theoretical Explorations

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
7	2024	NeurIPS	DAEDL	Uncertainty Estimation by Density Aware Evidential Deep Learning

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
7	2022	CML	-	Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

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

Transfer Learning

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
11	2024	NeurIPS	SAUE	Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation		-

Active Learning

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		-
7	2024	NeurIPS	EMM	Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity

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

Multi-label 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		-
6	2024	NeurIPS	HEDL	Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection		-

Reinfocement Learning

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

Graph Neural Network

ID	Year	Venue	Abbr	Title	PDF	Code
1	2020	NeurIPS	GKDE	Uncertainty aware semi-supervised learning on graph data
2	2024	ICML	-	Uncertainty-aware Graph-based Hyperspectral Image Classification

EDL in Downstream Applications

Computer Vision

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		-
16	2024	NeurIPS	E-NSDE	Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
17	2024	NeurIPS	AIRS	Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
18	2024	NeurIPS	Bayesian-PEFT	Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models		-
19	2024	ICML	-	Hierarchical Novelty Detection via Fine-Grained Evidence Allocation		-

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

Audio Processing

ID	Year	Venue	Abbr	Title	PDF	Code
1	2022	ICASSP	SEED	Seed: Sound event early detection via evidential uncertainty		-
2	2024	TIM	TCRNN	Uncertainty estimation for sound source localization with deep learning

Cross-modal Learning

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		-
10	2024	ICASSP	EPE-P	EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities		-

Automatic Driving

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

EDL in the Open-World

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

EDL for Science

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		-

Feedback

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