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 21–30 of 703 papers

Title	Date	Tasks	Status	Hype
PS-EIP: Robust Photometric Stereo Based on Event Interval Profile	Mar 24, 2025	Deep LearningOutlier Detection	—Unverified	0
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization	Mar 24, 2025	GPULarge Language Model	—Unverified	0
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression	Mar 17, 2025	Data CompressionOutlier Detection	—Unverified	0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model	Mar 14, 2025	Bayesian InferenceEfficient Exploration	—Unverified	0
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models	Mar 13, 2025	channel selectionContrastive Learning	—Unverified	0
Robust Multi-Source Domain Adaptation under Label Shift	Mar 4, 2025	Domain AdaptationOutlier Detection	—Unverified	0
Out-of-Distribution Detection on Graphs: A Survey	Feb 12, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
Robust Conformal Outlier Detection under Contaminated Reference Data	Feb 7, 2025	Conformal PredictionOutlier Detection	CodeCode Available	0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning	Feb 6, 2025	ImputationOutlier Detection	CodeCode Available	0
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples	Jan 28, 2025	DiversityOutlier 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