Self-supervised Pretraining Isolated Forest for Outlier Detection

Unsupervised anomaly detection of structured tabular data is a very important issue as it plays a key role in decision making in production practices. The mainstream unsupervised learning methods VAE (Variational Auto Encoder), GAN (Generative Adversarial Network) and other deep neural networks (DNNs) have achieved remarkable success in image, text and audio data recognition and processing, howeve...