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 126–150 of 703 papers

Title	Date	Tasks	Status	Score
Nowcasting Networks	Nov 27, 2020	Outlier DetectionTime Series	CodeCode Available	5
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy	May 21, 2024	Outlier Detection	CodeCode Available	5
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	Oct 31, 2024	Deep LearningDiversity	CodeCode Available	5
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes	Dec 27, 2023	ManagementOutlier Detection	CodeCode Available	5
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits	Aug 4, 2024	Few-Shot LearningOpen Set Learning	CodeCode Available	5
An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class Classifiers	Aug 14, 2018	Active LearningGeneral Classification	CodeCode Available	5
Elastic Similarity and Distance Measures for Multivariate Time Series	Feb 20, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking	Jan 18, 2024	Cell DetectionCell Segmentation	CodeCode Available	5
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles	Mar 13, 2022	BenchmarkingBIG-bench Machine Learning	CodeCode Available	5
Efficient variational Bayesian neural network ensembles for outlier detection	Mar 20, 2017	Outlier Detection	CodeCode Available	5
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data	Jul 1, 2019	Outlier Detection	CodeCode Available	5
Edgewise outliers of network indexed signals	Jul 20, 2023	Outlier Detection	CodeCode Available	5
Outlier Detection in Large Radiological Datasets using UMAP	Jul 31, 2024	Outlier Detection	CodeCode Available	5
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network	Dec 1, 2019	Outlier DetectionRepresentation Learning	CodeCode Available	5
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data	Nov 18, 2020	Decision MakingICU Admission	CodeCode Available	5
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison	Dec 20, 2024	Outlier Detection	CodeCode Available	5
Anomaly Detection with Selective Dictionary Learning	Jul 17, 2023	Anomaly DetectionDictionary Learning	CodeCode Available	5
Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles	Sep 6, 2020	Anomaly DetectionOutlier Detection	CodeCode Available	5
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions	Feb 27, 2018	ClusteringOutlier 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
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments	Oct 15, 2022	ClusteringOutlier Detection	CodeCode Available	5
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis	Feb 11, 2023	Image-text RetrievalKnowledge Graphs	CodeCode Available	5
Anomaly Detection via oversampling Principal Component Analysis	Jul 1, 2013	Anomaly DetectionOutlier Detection	CodeCode Available	5
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning	Feb 6, 2025	ImputationOutlier Detection	CodeCode Available	5
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis	Jan 10, 2024	Outlier 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