SOTAVerified

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

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Showing 401–450 of 703 papers

TitleStatusHype
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks—0
ast2vec: Utilizing Recursive Neural Encodings of Python ProgramsCode0
Homophily Outlier Detection in Non-IID Categorical Data—0
Fairness-aware Outlier Ensemble—0
Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation—0
Symbiotic Hybrid Neural Network Watchdog For Outlier Detection—0
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method—0
Elastic Similarity and Distance Measures for Multivariate Time SeriesCode0
Feature Engineering for Scalable Application-Level Post-Silicon Debugging—0
RECol: Reconstruction Error Columns for Outlier Detection—0
Measuring Dependence with Matrix-based Entropy FunctionalCode0
Dense outlier detection and open-set recognition based on training with noisy negative images—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
Outlier Preserving Distribution Mapping Autoencoders—0
Enhancing Visual Representations for Efficient Object Recognition during Online Distillation—0
Outlier Robust Optimal Transport—0
Identifying Informative Latent Variables Learned by GIN via Mutual Information—0
Suppressing Outlier Reconstruction in Autoencoders for Out-of-Distribution Detection—0
Probabilistic Outlier Detection and Generation—0
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments—0
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies—0
JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads—0
FairOD: Fairness-aware Outlier DetectionCode0
Nowcasting NetworksCode0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records DataCode0
Probing Predictions on OOD Images via Nearest CategoriesCode0
Efficient Subspace Search in Data StreamsCode0
Toward Scalable and Unified Example-based Explanation and Outlier Detection—0
Further Analysis of Outlier Detection with Deep Generative ModelsCode0
Autoencoder Watchdog Outlier Detection for Classifiers—0
Rotation Averaging with Attention Graph Neural Networks—0
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation—0
OneFlow: One-class flow for anomaly detection based on a minimal volume region—0
Machine learning based forecasting of significant daily returns in foreign exchange markets—0
Robust Outlier Arm IdentificationCode0
Anomaly Detection With Partitioning Overfitting Autoencoder EnsemblesCode0
Let me join you! Real-time F-formation recognition by a socially aware robot—0
A boosted outlier detection method based on the spectrum of the Laplacian matrix of a graph—0
Outlier detection in non-elliptical data by kernel MRCDCode0
ALRe: Outlier Detection for Guided Refinement—0
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition—0
Byzantine-Resilient Secure Federated Learning—0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
In search of the weirdest galaxies in the UniverseCode0
Data Stream Clustering: A Review—0
Generic Outlier Detection in Multi-Armed Bandit—0
It Is Likely That Your Loss Should be a Likelihood—0
Learning low-dimensional manifolds under the L0-norm constraint for unsupervised outlier detection—0
Deep Learning for Anomaly Detection: A Review—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VRAE+SVMAccuracy0.98—Unverified
2F-t ALSTM-FCNAccuracy0.95—Unverified
3GENDISAccuracy0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy99.03—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy37.62—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy65.6—Unverified
#ModelMetricClaimedVerifiedStatus
1PAEAUROC1—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy99.05—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC-ROC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1MIXAUC-ROC0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ASVDDAverage Accuracy86.33—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMCapsAverage F10.74—Unverified