Proj CDeepFuzz Paper Reading: AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

Abstract

本文：review on autoML emphasis on unsupervised anomaly detection

1. Intro

2. AutoML

2.1 Challenges

2.2 Model generation

3. Meta-learning

4. General automated approaches

4.1 Supervised autoML

4.2 Clustering

4.3 Anomaly detection

4.3.1 Toward automated anomaly detection

4.3.2 Neural network-based anomaly detection

4.3.3 Evaluation metrics

4.4 Semi-supervised AutoML

5. Research directions

6. Concluding remarks