This work is concerned with kinetic equations with velocity of constant
...
With recent advancements in natural language processing, Large Language
...
Pretrained language models (PLMs) are today the primary model for natura...
Prior work has shown that it is possible to expand pretrained Masked Lan...
Detecting mass in mammogram is significant due to the high occurrence an...
This paper explores the point set representation for tubular structure
e...
3D object detection has achieved remarkable progress by taking point clo...
Factorisation-based Models (FMs), such as DistMult, have enjoyed endurin...
Learning good representations on multi-relational graphs is essential to...
The embedding-based representation learning is commonly used in deep lea...
Verification and regression are two general methodologies for prediction...
Despite the continuing efforts to improve the engagingness and consisten...
How do humans recognize an object in a piece of video? Due to the
deteri...
Recommendation models mainly deal with categorical variables, such as
us...
By seeking the narrowest prediction intervals (PIs) that satisfy the
spe...
The focus of WSDM cup 2019 is session-based sequential skip prediction, ...
As one of the most popular techniques for solving the ranking problem in...
Almost all the knowledge empowered applications rely upon accurate knowl...