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

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
  • 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

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

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

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		-

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		-

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	ICLR	-	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		-

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

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		-

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

If you have any suggestions or find missing papers, please feel free to contact me.

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