Pre-trained multilingual language models play an important role in
cross...
The modern digital world is increasingly becoming multimodal. Although
m...
Transfer learning eases the burden of training a well-performed model fr...
Knowledge distillation has become an important technique for model
compr...
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quic...
In this paper, we propose FairNN a neural network that performs joint fe...
While deep learning (DL)-based networked systems have shown great potent...
Virtual Trusted Platform Modules (vTPMs) have been widely used in commer...
Recent advances in artificial intelligence and the increasing need for
p...
Vision-based navigation of modern autonomous vehicles primarily depends ...
Recently SmartNICs are widely used to accelerate service chains in NFV.
...
The modularization of Service Function Chains (SFCs) in Network Function...
A connected vehicle (CV) environment is composed of a diverse data
colle...
We introduce a new deep convolutional neural network, CrescendoNet, by
s...