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 201–250 of 703 papers

TitleStatusHype
Quantile-based Maximum Likelihood Training for Outlier DetectionCode0
FairOD: Fairness-aware Outlier DetectionCode0
Fast Incremental SVDD Learning Algorithm with the Gaussian KernelCode0
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time ChangesCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
Adversarial Subspace Generation for Outlier Detection in High-Dimensional DataCode0
Depth-Based Object Tracking Using a Robust Gaussian FilterCode0
ast2vec: Utilizing Recursive Neural Encodings of Python ProgramsCode0
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution SamplesCode0
Rule-based outlier detection of AI-generated anatomy segmentationsCode0
What Do Compressed Deep Neural Networks Forget?Code0
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++Code0
A Fast Greedy Algorithm for Outlier MiningCode0
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph LaplacianCode0
EntropyStop: Unsupervised Deep Outlier Detection with Loss EntropyCode0
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical DataCode0
A geometric perspective on functional outlier detectionCode0
STWalk: Learning Trajectory Representations in Temporal GraphsCode0
Estimating Density Models with Truncation Boundaries using Score MatchingCode0
Efficient Subspace Search in Data StreamsCode0
Efficient Generation of Hidden Outliers for Improved Outlier DetectionCode0
Efficient variational Bayesian neural network ensembles for outlier detectionCode0
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks SafetyCode0
Elastic Similarity and Distance Measures for Multivariate Time SeriesCode0
Dimensionality-Aware Outlier Detection: Theoretical and Experimental AnalysisCode0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesCode0
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental AnalysisCode0
Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training StoppingCode0
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data—0
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder—0
BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese—0
Efficient Bregman Range Search—0
Backdooring Outlier Detection Methods: A Novel Attack Approach—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection—0
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System—0
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree—0
Annealed Denoising score matching: learning Energy based model in high-dimensional spaces—0
ECO-AMLP: A Decision Support System using an Enhanced Class Outlier with Automatic Multilayer Perceptron for Diabetes Prediction—0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
DRGRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images—0
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies—0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction—0
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions—0
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All datasetsECG5000Balance scale_class 1Breast cancer Wisconsin_class 2Breast cancer Wisconsin_class 4Fashion-MNISTGlass identificationHeart-CHepatitisInternet AdIonosphere_class bSKAB

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