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
Outlier detection by ensembling uncertainty with negative objectness	Feb 23, 2024	Outlier DetectionPrediction	CodeCode Available	1
Outlier detection in multivariate functional data through a contaminated mixture model	Jun 14, 2021	Outlier Detection	CodeCode Available	1
Out-of-Distribution Detection on Graphs: A Survey	Feb 12, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization	Sep 26, 2022	Outlier DetectionOut-of-Distribution Detection	CodeCode Available	1
Probabilistic Autoencoder	Jun 9, 2020	Bayesian InferenceDenoising	CodeCode Available	1
PyOD: A Python Toolbox for Scalable Outlier Detection	Jan 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	1
SSD: A Unified Framework for Self-Supervised Outlier Detection	Mar 22, 2021	Anomaly DetectionOutlier Detection	CodeCode Available	1
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay	Jul 22, 2024	Outlier DetectionTest-time Adaptation	CodeCode Available	1
Clustered Hierarchical Anomaly and Outlier Detection Algorithms	Feb 9, 2021	Anomaly DetectionClustering	CodeCode Available	1
Deep Sets	Mar 10, 2017	Anomaly DetectionOutlier 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
Toward Unsupervised Outlier Model Selection	Nov 3, 2022	Meta-Learningmodel	CodeCode Available	1
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls	Jan 6, 2025	Outlier Detection	CodeCode Available	1
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method	Oct 24, 2022	AttributeGraph Outlier Detection	CodeCode Available	1
Autoencoding Under Normalization Constraints	May 12, 2021	Outlier Detection	CodeCode Available	1
Automating Outlier Detection via Meta-Learning	Sep 22, 2020	Anomaly DetectionAutoML	CodeCode Available	1
Zero-Shot Learning Through Cross-Modal Transfer	Jan 16, 2013	Outlier DetectionZero-Shot Learning	CodeCode Available	1
Computationally Assisted Quality Control for Public Health Data Streams	Jun 29, 2023	Decision MakingOutlier Detection	CodeCode Available	1
Multidimensional Uncertainty-Aware Evidential Neural Networks	Dec 26, 2020	Generative Adversarial NetworkMulti-class Classification	CodeCode Available	1
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models	Dec 29, 2023	Data AugmentationDenoising	CodeCode Available	1
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning	Mar 21, 2023	Outlier Detection	CodeCode Available	1
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection	Feb 16, 2023	Outlier Detection	CodeCode Available	1
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	Jan 2, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement	Sep 25, 2022	Outlier Detection	CodeCode Available	1
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder	Mar 10, 2023	image-classificationImage Classification	—Unverified	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