Contrastive learning, which is a powerful technique for learning image-l...
End-to-end weakly supervised semantic segmentation aims at optimizing a
...
A deep autoencoder (DAE)-based end-to-end communication over the two-use...
With the goal of improving spectral efficiency, complex rotation-based
p...
Using a deep autoencoder (DAE) for end-to-end communication in multiple-...
This paper introduces a unified deep neural network (DNN)-based precoder...
A novel precoding method based on supervised deep neural networks is
int...
The problem of maximizing secrecy rate of multiple-input multiple-output...