Although face recognition starts to play an important role in our daily ...
Many natural language processing (NLP) tasks rely on labeled data to tra...
Adversarial attacks can mislead deep learning models to make false
predi...
The dual-encoder has become the de facto architecture for dense retrieva...
With the development of machine learning, it is difficult for a single s...
Detecting anomalous trajectories has become an important task in many
lo...
A major source of information can be taken from financial news articles,...
With the development of machine learning, it is difficult for a single s...
Graphs have been widely used in data mining and machine learning due to ...
Federated learning (FL) has shown great potential for addressing the
cha...
We set up a supply-side game-theoretic model for the cooperative product...
Decentralized Web, or DWeb, is envisioned as a promising future of the W...