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 121–130 of 703 papers

Title	Date	Tasks	Status
Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions	Dec 3, 2024	Outlier DetectionSelf-Learning	—Unverified
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale	Dec 1, 2024	Link PredictionOutlier Detection	CodeCode Available
Using Images to Find Context-Independent Word Representations in Vector Space	Nov 28, 2024	Outlier DetectionWord Similarity	—Unverified
Unsupervised Event Outlier Detection in Continuous Time	Nov 25, 2024	Anomaly DetectionData Augmentation	—Unverified
Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling	Nov 21, 2024	ARCClustering	—Unverified
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach	Nov 15, 2024	Decision MakingHybrid Machine Learning	—Unverified
Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles	Nov 13, 2024	Density EstimationOutlier Detection	—Unverified
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	Oct 31, 2024	Deep LearningDiversity	CodeCode Available
GWQ: Gradient-Aware Weight Quantization for Large Language Models	Oct 30, 2024	Outlier DetectionQuantization	—Unverified
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates	Oct 29, 2024	Anomaly DetectionOutlier Detection	CodeCode Available

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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