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 201–225 of 703 papers

Title	Date	Tasks	Status	Score
A geometric perspective on functional outlier detection	Sep 14, 2021	Outlier Detection	CodeCode Available	5
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison	Dec 20, 2024	Outlier Detection	CodeCode Available	5
Distribution and volume based scoring for Isolation Forests	Sep 20, 2023	Outlier Detection	CodeCode Available	5
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis	Jan 10, 2024	Outlier Detection	CodeCode Available	5
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers	May 30, 2025	Outlier Detection	CodeCode Available	5
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety	May 11, 2025	Outlier DetectionRed Teaming	CodeCode Available	5
Dense open-set recognition with synthetic outliers generated by Real NVP	Nov 22, 2020	Autonomous Drivingimage-classification	CodeCode Available	5
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data	Apr 10, 2025	feature selectionOne-Class Classification	CodeCode Available	5
Depth-Based Object Tracking Using a Robust Gaussian Filter	Feb 19, 2016	Computational EfficiencyObject	CodeCode Available	5
ast2vec: Utilizing Recursive Neural Encodings of Python Programs	Mar 22, 2021	ClusteringOutlier Detection	CodeCode Available	5
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments	Oct 15, 2022	ClusteringOutlier Detection	CodeCode Available	5
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs	Jul 17, 2022	Outlier Detection	CodeCode Available	5
Rethinking Unsupervised Outlier Detection via Multiple Thresholding	Jul 7, 2024	Outlier Detection	CodeCode Available	5
Road User Abnormal Trajectory Detection using a Deep Autoencoder	Aug 25, 2018	BIG-bench Machine LearningOutlier Detection	CodeCode Available	5
A Fast Greedy Algorithm for Outlier Mining	Apr 1, 2006	Outlier Detection	CodeCode Available	5
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection	Jul 12, 2025	Outlier Detectionparameter estimation	CodeCode Available	5
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples	Jan 28, 2025	DiversityOutlier Detection	CodeCode Available	5
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection	Feb 8, 2018	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification	Jan 8, 2019	Anomaly DetectionClassification	CodeCode Available	5
What Do Compressed Deep Neural Networks Forget?	Nov 13, 2019	FairnessInterpretability Techniques for Deep Learning	CodeCode Available	5
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift	Aug 3, 2019	Anomaly DetectionDiversity	CodeCode Available	5
Efficient Generation of Hidden Outliers for Improved Outlier Detection	Feb 6, 2024	Outlier Detection	CodeCode Available	5
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution	Jun 15, 2022	Model SelectionOutlier Detection	CodeCode Available	5
Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces	Feb 27, 2024	Outlier DetectionUncertainty Quantification	CodeCode Available	5
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty	Jun 28, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	5

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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