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 71–80 of 703 papers

Title	Date	Tasks	Status	Hype
Flexible categorization using formal concept analysis and Dempster-Shafer theory	Aug 23, 2024	Outlier Detection	—Unverified	0
Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection	Aug 22, 2024	Autonomous DrivingOutlier Detection	—Unverified	0
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect	Aug 19, 2024	MemorizationOutlier Detection	—Unverified	0
Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality	Aug 15, 2024	feature selectionOutlier Detection	CodeCode Available	0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits	Aug 4, 2024	Few-Shot LearningOpen Set Learning	CodeCode Available	0
Regularized Contrastive Partial Multi-view Outlier Detection	Aug 2, 2024	AttributeContrastive Learning	—Unverified	0
Outlier Detection in Large Radiological Datasets using UMAP	Jul 31, 2024	Outlier Detection	CodeCode Available	0
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay	Jul 22, 2024	Outlier DetectionTest-time Adaptation	CodeCode Available	1
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning	Jul 12, 2024	Anomaly DetectionBackdoor Attack	—Unverified	0
Rethinking Unsupervised Outlier Detection via Multiple Thresholding	Jul 7, 2024	Outlier Detection	CodeCode Available	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