Traditional recommender systems are typically passive in that they try t...
The interpretability of Convolutional Neural Networks (CNNs) is an impor...
The shrinking of transistor geometries as well as the increasing complex...
In recent years, deep learning has shown impressive performance on many
...
Many network resource allocation problems can be viewed as allocating a
...
Generative adversarial networks (GANs) are powerful tools for learning
g...
We relate the minimax game of generative adversarial networks (GANs) to
...