By introducing the dimension reduction layer in the autoencoder structure based on deep learning, we can extend the current DNN framework into a more generalized one to enhance the generality of OOD.

The interpolated image is used for the training and testing of deep-learning models. Figure 1: General structure of current deep-learning based SISR models. In this project it is found that different ...

This paper proposes a deep generative model for community detection and network generation. Empowered with Bayesian deep learning, deep generative models are capable of exploiting non-linearities ...

However, due to the limitation of intrinsic linearity and fixed structure, the advantages of prior structure are limited. To address this problem, in this brief, we embed the structured graph learning ...

In general, almost everything we know about neurons, such as their structure, types, and interconnectivity, has been left out of deep learning models. Over the past few years, work from the Allen ...