The advent of large language models (LLMs) and their adoption by the leg...
This paper addresses the ethical concerns arising from the use of
unauth...
For Pretrained Language Models (PLMs), their susceptibility to noise has...
Adversarial robustness, domain generalization and dataset biases are thr...
In multi-agent reinforcement learning, each agent acts to maximize its
i...
Unmanned Aerial Vehicles (UAVs) are widely used and meet many demands in...
Underwater images are usually covered with a blue-greenish colour cast,
...
Spectral graph convolutional neural networks (GCNNs) have been producing...
Mining attacks aim to gain an unfair share of extra rewards in the block...
As a popular representation of 3D data, point cloud may contain noise an...
Internet of Things (IoT) based applications face an increasing number of...
Face recognition is one of the most studied research topics in the commu...
A key component of deep learning (DL) for natural language processing (N...
Occluded person re-identification is a challenging task as the appearanc...
Software ecosystems (SECOs) and open innovation processes have been clai...