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Supervised machine learning is often used to detect phishing websites. However, the scarcity of phishing data for training purposes limits the classifier's performance. Further, machine learning ...
Memory-augmented Adversarial Autoencoder is exploited for industrial detection by making full use of intermediate features. Specifically, a memory module with multiple measurements is designed to ...
We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...
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