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 341–350 of 703 papers

Title	Date	Tasks	Status	Hype
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation	Aug 1, 2021	Outlier Detection	—Unverified	0
Data-driven modeling of time-domain induced polarization	Jul 30, 2021	DenoisingGeophysics	CodeCode Available	0
Unsupervised Outlier Detection using Memory and Contrastive Learning	Jul 27, 2021	Contrastive LearningOutlier Detection	—Unverified	0
Uncertainty-Aware Reliable Text Classification	Jul 15, 2021	ClassificationOutlier Detection	CodeCode Available	1
Meta-Learning for Relative Density-Ratio Estimation	Jul 2, 2021	Density Ratio EstimationMeta-Learning	—Unverified	0
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search	Jun 23, 2021	ClusteringForm	—Unverified	0
Outlier Detection and Spatial Analysis Algorithms	Jun 20, 2021	Outlier Detection	—Unverified	0
Comparison of Outlier Detection Techniques for Structured Data	Jun 16, 2021	BIG-bench Machine LearningOutlier Detection	—Unverified	0
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training	Jun 16, 2021	Intent DetectionOutlier Detection	CodeCode Available	0
Towards Total Recall in Industrial Anomaly Detection	Jun 15, 2021	3D Anomaly DetectionAnomaly Classification	CodeCode Available	2

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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