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 151–175 of 703 papers

Title	Date	Tasks	Status	Score
Efficient Generation of Hidden Outliers for Improved Outlier Detection	Feb 6, 2024	Outlier Detection	CodeCode Available	5
Edgewise outliers of network indexed signals	Jul 20, 2023	Outlier Detection	CodeCode Available	5
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network	Dec 1, 2019	Outlier DetectionRepresentation Learning	CodeCode Available	5
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	Oct 31, 2024	Deep LearningDiversity	CodeCode Available	5
Efficient Subspace Search in Data Streams	Nov 13, 2020	Outlier Detection	CodeCode Available	5
Outlier Detection in Large Radiological Datasets using UMAP	Jul 31, 2024	Outlier Detection	CodeCode Available	5
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data	Jul 1, 2019	Outlier Detection	CodeCode Available	5
FairOD: Fairness-aware Outlier Detection	Dec 5, 2020	FairnessOutlier Detection	CodeCode Available	5
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers	May 30, 2025	Outlier Detection	CodeCode Available	5
Distribution and volume based scoring for Isolation Forests	Sep 20, 2023	Outlier Detection	CodeCode Available	5
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments	Oct 15, 2022	ClusteringOutlier Detection	CodeCode Available	5
Fluctuation-based Outlier Detection	Apr 21, 2022	Outlier Detection	CodeCode Available	5
An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class Classifiers	Aug 14, 2018	Active LearningGeneral Classification	CodeCode Available	5
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning	Apr 9, 2024	Federated LearningNetwork Pruning	CodeCode Available	5
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study	Feb 11, 2024	Anomaly DetectionBenchmarking	CodeCode Available	5
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits	Aug 4, 2024	Few-Shot LearningOpen Set Learning	CodeCode Available	5
Generative Adversarial Active Learning for Unsupervised Outlier Detection	Sep 28, 2018	Active LearningBinary Classification	CodeCode Available	5
Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data	Apr 20, 2024	Active LearningGenerative Adversarial Network	CodeCode Available	5
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis	Jan 10, 2024	Outlier Detection	CodeCode Available	5
Condition Number Analysis of Kernel-based Density Ratio Estimation	Dec 15, 2009	Density Ratio Estimationfeature selection	CodeCode Available	5
Conformal inference is (almost) free for neural networks trained with early stopping	Jan 27, 2023	Multi-class ClassificationOutlier Detection	CodeCode Available	5
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?	Nov 9, 2023	Meta-LearningModel Selection	CodeCode Available	5
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection	Feb 8, 2018	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
Consistent and Flexible Selectivity Estimation for High-Dimensional Data	May 20, 2020	Data IntegrationDensity Estimation	CodeCode Available	5
Anomaly Detection in Networks via Score-Based Generative Models	Jun 27, 2023	Anomaly DetectionOutlier Detection	CodeCode Available	5

Show:10 25 50

← PrevPage 7 of 29Next →

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