Guansong Pang – Medium

Guansong Pang

Guansong Pang
in
Towards Data Science

Learning Generalist Models for Anomaly Detection

Generalist Anomaly Detection (GAD) aims to train one single detection model that can generalize to detect anomalies in diverse datasets…

Apr 14

Learning Generalist Models for Anomaly Detection

Apr 14

Guansong Pang

Cross-Domain Anomaly Detection

Cross-domain anomaly detection describes the problem of detecting anomalies in an unlabelled target data using auxiliary, related source…

Apr 9, 2023

Cross-Domain Anomaly Detection

Apr 9, 2023

Guansong Pang
in
Towards Data Science

Deep Learning for Hate Speech Detection: A Large-scale Empirical Evaluation

Providing guidance as to the use of hate-speech detection in practice, quantifying the state-of-the-art, and identifying future research…

Mar 5, 2022

Deep Learning for Hate Speech Detection: A Large-scale Empirical Evaluation

Mar 5, 2022

Guansong Pang

Codes for SOTA deep anomaly detection methods

A continuously updated repository of open-source deep anomaly detection methods

Oct 15, 2021

Codes for SOTA deep anomaly detection methods

Oct 15, 2021

Guansong Pang
in
Towards Data Science

Deep Few-shot Anomaly Detection

Harnessing a few labeled anomaly instances to perform anomaly-informed deep detection of abnormalities

Nov 8, 2020

Deep Few-shot Anomaly Detection

Nov 8, 2020

Guansong Pang
in
Towards Data Science

ADRepository: Anomaly detection datasets with real anomalies

I have created a Github repository to provide a continuously updated collection of popular real-world datasets used for anomaly detection…

Oct 30, 2020

ADRepository: Anomaly detection datasets with real anomalies

Oct 30, 2020

Guansong Pang
in
Towards Data Science

Deep Learning for Anomaly Detection: A Comprehensive Survey

Reviewing challenges, methods and opportunities in deep anomaly detection

Jul 8, 2020

Deep Learning for Anomaly Detection: A Comprehensive Survey

Jul 8, 2020

Guansong Pang

Guansong Pang

Assistant Professor of Computer Science at SMU. Write about machine learning for abnormality, rarity, and irregularity (see our lab https://github.com/mala-lab)

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