Guansong PanginTowards Data ScienceLearning Generalist Models for Anomaly DetectionGeneralist Anomaly Detection (GAD) aims to train one single detection model that can generalize to detect anomalies in diverse datasets…Apr 14Apr 14
Guansong PangCross-Domain Anomaly DetectionCross-domain anomaly detection describes the problem of detecting anomalies in an unlabelled target data using auxiliary, related source…Apr 9, 2023Apr 9, 2023
Guansong PanginTowards Data ScienceDeep Learning for Hate Speech Detection: A Large-scale Empirical EvaluationProviding guidance as to the use of hate-speech detection in practice, quantifying the state-of-the-art, and identifying future research…Mar 5, 2022Mar 5, 2022
Guansong PangCodes for SOTA deep anomaly detection methodsA continuously updated repository of open-source deep anomaly detection methodsOct 15, 20211Oct 15, 20211
Guansong PanginTowards Data ScienceDeep Few-shot Anomaly DetectionHarnessing a few labeled anomaly instances to perform anomaly-informed deep detection of abnormalitiesNov 8, 2020Nov 8, 2020
Guansong PanginTowards Data ScienceADRepository: Anomaly detection datasets with real anomaliesI have created a Github repository to provide a continuously updated collection of popular real-world datasets used for anomaly detection…Oct 30, 2020Oct 30, 2020
Guansong PanginTowards Data ScienceDeep Learning for Anomaly Detection: A Comprehensive SurveyReviewing challenges, methods and opportunities in deep anomaly detectionJul 8, 2020Jul 8, 2020