The field of cooperative multi-agent reinforcement learning (MARL) has s...
A realistic long-term microscopic traffic simulator is necessary for
und...
Deep networks are well-known to be fragile to adversarial attacks, and
a...
Tree fruit breeding is a long-term activity involving repeated measureme...
It has been recognized that the data generated by the denoising diffusio...
Deep Neural Networks (DNN) have been shown to be vulnerable to adversari...
Node classification is a fundamental graph-based task that aims to predi...
Optical character recognition (OCR) technology has been widely used in
v...
Relation classification (RC) aims to predict the relationship between a ...
Optical Character Recognition (OCR) systems have been widely used in var...
Exabytes of data are generated daily by humans, leading to the growing n...
Many matrix completion methods assume that the data follows the uniform
...
The Optical Character Recognition (OCR) systems have been widely used in...
Social media sites are now becoming very important platforms for product...
The pooling layer is an essential component in the neural network based
...