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 26–50 of 703 papers

Title	Date	Tasks	Status	Hype
Open-Set Likelihood Maximization for Few-Shot Learning	Jan 20, 2023	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
RbA: Segmenting Unknown Regions Rejected by All	Nov 25, 2022	AllAnomaly Detection	CodeCode Available	1
PNI : Industrial Anomaly Detection using Position and Neighborhood Information	Nov 22, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language	Nov 8, 2022	Outlier Detection	CodeCode Available	1
Toward Unsupervised Outlier Model Selection	Nov 3, 2022	Meta-Learningmodel	CodeCode Available	1
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method	Oct 24, 2022	AttributeGraph Outlier Detection	CodeCode Available	1
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization	Sep 26, 2022	Outlier DetectionOut-of-Distribution Detection	CodeCode Available	1
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement	Sep 25, 2022	Outlier Detection	CodeCode Available	1
FaceMap: Towards Unsupervised Face Clustering via Map Equation	Mar 21, 2022	ClusteringCommunity Detection	CodeCode Available	1
NEAR - Newborns EEG Artifact Removal	Jan 15, 2022	EEGEEG Artifact Removal	CodeCode Available	1
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	Jan 2, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks	Dec 10, 2021	Anomaly DetectionGraph Neural Network	CodeCode Available	1
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization	Dec 1, 2021	Novelty DetectionOutlier Detection	CodeCode Available	1
TOD: GPU-accelerated Outlier Detection via Tensor Operations	Oct 26, 2021	CPUFraud Detection	CodeCode Available	1
Generalized Out-of-Distribution Detection: A Survey	Oct 21, 2021	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection	Oct 11, 2021	Outlier Detection	CodeCode Available	1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control	Oct 3, 2021	BIG-bench Machine LearningInstance Segmentation	CodeCode Available	1
Uncertainty-Aware Reliable Text Classification	Jul 15, 2021	ClassificationOutlier Detection	CodeCode Available	1
Outlier detection in multivariate functional data through a contaminated mixture model	Jun 14, 2021	Outlier Detection	CodeCode Available	1
InFlow: Robust outlier detection utilizing Normalizing Flows	Jun 10, 2021	Density EstimationOutlier Detection	CodeCode Available	1
Deep Clustering based Fair Outlier Detection	Jun 9, 2021	AttributeClustering	CodeCode Available	1
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers	May 28, 2021	Novelty DetectionOutlier Detection	CodeCode Available	1
Autoencoding Under Normalization Constraints	May 12, 2021	Outlier Detection	CodeCode Available	1
Unsupervised Offline Changepoint Detection Ensembles	May 9, 2021	Anomaly DetectionChange Point Detection	CodeCode Available	1
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network	Apr 19, 2021	Anomaly DetectionOutlier Detection	CodeCode Available	1

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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