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Adversarial_autoencoder ⭐ 356

A wizard's guide to Adversarial Autoencoders

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Breast Cancer Sub Types ⭐ 17

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

Open-set Recognition with Adversarial Autoencoders

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