Outlier Detection

Outlier Detection is a task of identifying a subset of a given data set which are considered anomalous in that they are unusual from other instances. It is one of the core data mining tasks and is central to many applications. In the security field, it can be used to identify potentially threatening users, in the manufacturing field it can be used to identify parts that are likely to fail.

Source: Coverage-based Outlier Explanation

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 703 papers

Title	Date	Tasks	Status	Hype
Testing for Outliers with Conformal p-values	Apr 16, 2021	Outlier Detectionvalid	CodeCode Available	1
SSD: A Unified Framework for Self-Supervised Outlier Detection	Mar 22, 2021	Anomaly DetectionOutlier Detection	CodeCode Available	1
DEUP: Direct Epistemic Uncertainty Prediction	Feb 16, 2021	Active Learningimage-classification	CodeCode Available	1
Clustered Hierarchical Anomaly and Outlier Detection Algorithms	Feb 9, 2021	Anomaly DetectionClustering	CodeCode Available	1
Multidimensional Uncertainty-Aware Evidential Neural Networks	Dec 26, 2020	Generative Adversarial NetworkMulti-class Classification	CodeCode Available	1
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights	Dec 23, 2020	Binary ClassificationGeneral Classification	CodeCode Available	1
Automating Outlier Detection via Meta-Learning	Sep 22, 2020	Anomaly DetectionAutoML	CodeCode Available	1
COPOD: Copula-Based Outlier Detection	Sep 20, 2020	Outlier Detection	CodeCode Available	1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video	Aug 27, 2020	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Handcrafted Outlier Detection Revisited	Aug 1, 2020	Outlier DetectionVisual Localization	CodeCode Available	1
Explainable Deep One-Class Classification	Jul 3, 2020	Anomaly DetectionClassification	CodeCode Available	1
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification	Jul 1, 2020	ClassificationGeneral Classification	CodeCode Available	1
Probabilistic Autoencoder	Jun 9, 2020	Bayesian InferenceDenoising	CodeCode Available	1
Picket: Guarding Against Corrupted Data in Tabular Data during Learning and Inference	Jun 8, 2020	BIG-bench Machine LearningOutlier Detection	CodeCode Available	1
AdaLAM: Revisiting Handcrafted Outlier Detection	Jun 7, 2020	Key Point MatchingOutlier Detection	CodeCode Available	1
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection	Mar 11, 2020	Dimensionality ReductionFraud Detection	CodeCode Available	1
SUOD: Toward Scalable Unsupervised Outlier Detection	Feb 8, 2020	Knowledge DistillationOutlier Detection	CodeCode Available	1
Explainable outlier detection through decision tree conditioning	Jan 2, 2020	Outlier Detection	CodeCode Available	1
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching	Oct 17, 2019	DenoisingImage Inpainting	CodeCode Available	1
Explaining Anomalies Detected by Autoencoders Using SHAP	Mar 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
PyOD: A Python Toolbox for Scalable Outlier Detection	Jan 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
LSTM Fully Convolutional Networks for Time Series Classification	Sep 8, 2017	General ClassificationOutlier Detection	CodeCode Available	1
Deep Sets	Mar 10, 2017	Anomaly DetectionOutlier Detection	CodeCode Available	1
Zero-Shot Learning Through Cross-Modal Transfer	Jan 16, 2013	Outlier DetectionZero-Shot Learning	CodeCode Available	1
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection	Jul 12, 2025	Outlier Detectionparameter estimation	CodeCode Available	0

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All datasets ECG5000 Balance scale_class 1 Breast cancer Wisconsin_class 2 Breast cancer Wisconsin_class 4 Fashion-MNIST Glass identification Heart-C Hepatitis Internet Ad Ionosphere_class b SKAB

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	VRAE+SVM	Accuracy	0.98	—	Unverified
2	F-t ALSTM-FCN	Accuracy	0.95	—	Unverified
3	GENDIS	Accuracy	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	37.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	65.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PAE	AUROC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	99.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIX	AUC-ROC	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ASVDD	Average Accuracy	86.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTMCaps	Average F1	0.74	—	Unverified