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 621–630 of 703 papers

Title	Date	Tasks	Status
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions	Feb 27, 2018	ClusteringOutlier Detection	CodeCode Available
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study	Feb 11, 2024	Anomaly DetectionBenchmarking	CodeCode Available
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety	May 11, 2025	Outlier DetectionRed Teaming	CodeCode Available
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs	Jun 21, 2022	Anomaly DetectionBenchmarking	CodeCode Available
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures	Jan 1, 2024	Outlier DetectionVariational Inference	CodeCode Available
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution	Jun 15, 2022	Model SelectionOutlier Detection	CodeCode Available
Quantile-based Maximum Likelihood Training for Outlier Detection	Aug 20, 2023	Autonomous DrivingContrastive Learning	CodeCode Available
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection	Jun 26, 2019	Outlier Detection	CodeCode Available
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data	Apr 10, 2025	feature selectionOne-Class Classification	CodeCode Available
Valid Inference Corrected for Outlier Removal	Nov 29, 2017	Outlier Detectionvalid	CodeCode Available

Show:10 25 50

← PrevPage 63 of 71Next →

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