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Generalized Zero & Few-Shot Transfer for Facial Forgery Detection
Deep Distribution Transfer (DDT), a new transfer learning approach to address the problem of zero and few-shot transfer in the context of facial forgery.
zero-shot-learning few-shot-learning facial-forgery-detection fraud-detection
Anomaly Detection with Autoencoder in TensorFlow 2.0
How to implement a Deep Neural Network Model for Anomaly Detection in TensorFlow 2.0.
anomaly-detection autoencoders fraud-detection finance
Awesome Fraud Detection
A curated list of data mining papers about fraud detection.
fraud-detection deep-learning community-detection classification
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