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 481–490 of 703 papers

Title	Date	Tasks	Status
K-NS: Section-Based Outlier Detection in High Dimensional Space	May 5, 2014	Outlier DetectionVocal Bursts Intensity Prediction	—Unverified
A Simple and Fast Algorithm for L1-norm Kernel PCA	Sep 28, 2017	Outlier Detection	—Unverified
Large-scale gradient-based training of Mixtures of Factor Analyzers	Aug 26, 2023	LEMMAOutlier Detection	—Unverified
Large Scale Substitution-based Word Sense Induction	Oct 14, 2021	Outlier DetectionWord Embeddings	—Unverified
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions	May 27, 2025	Outlier Detection	—Unverified
Learning Geometric Concepts with Nasty Noise	Jul 5, 2017	LEMMAOutlier Detection	—Unverified
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator	Jun 10, 2023	Image GenerationOutlier Detection	—Unverified
Learning low-dimensional manifolds under the L0-norm constraint for unsupervised outlier detection	Jul 9, 2020	Outlier Detection	—Unverified
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation	Dec 15, 2022	Camera CalibrationKeypoint Detection	—Unverified
Learning novel representations of variable sources from multi-modal Gaia data via autoencoders	May 22, 2025	Data CompressionOutlier Detection	—Unverified

Show:10 25 50

← PrevPage 49 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