SOTAVerified

Semi-supervised Anomaly Detection

Papers

Showing 5176 of 76 papers

TitleStatusHype
Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach0
Abnormal Event Detection in Videos using Spatiotemporal AutoencoderCode0
Anomaly Detection by Recombining Gated Unsupervised ExpertsCode0
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled DataCode0
SADDE: Semi-supervised Anomaly Detection with Dependable ExplanationsCode0
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videosCode0
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-raysCode0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty DetectionCode0
Understanding Bias in Anomaly Detection: A Semi-Supervised View with PAC GuaranteesCode0
Semi-supervised Anomaly Detection on Attributed GraphsCode0
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesCode0
Graph Fairing Convolutional Networks for Anomaly DetectionCode0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
Generative Neural Networks for Anomaly Detection in Crowded ScenesCode0
Learning Temporal Regularity in Video SequencesCode0
Unseen Anomaly Detection on Networks via Multi-Hypersphere LearningCode0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly DetectionCode0
Deep Weakly-supervised Anomaly DetectionCode0
GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingCode0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionCode0
R2-AD2: Detecting Anomalies by Analysing the Raw GradientCode0
Deep Semi-Supervised Anomaly DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-Model + WS-Model + Sultani et al.AUC0.85Unverified
2SS-ModelAUC0.82Unverified
3LSTM-AEAUC0.54Unverified
4s2-VAEAUC0.54Unverified