Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

Abstract: Neuro-transfer function (Neuro-TF) has emerged as a prominent approach for electromagnetic (EM) parametric modeling, though traditional implementations for TF parameter extraction relying on ...

With the widespread use of Internet in daily life, the scale of network traffic has shown an explosive growth trend. However, malicious activities such as cyberattacks have a severe impact on ...

A notebook-based, from-scratch implementation of a convolutional autoencoder for MNIST in PyTorch — built to learn (and show) how an image gets compressed into a small latent vector and reconstructed ...