Monitoring animal behavior can facilitate conservation efforts by provid...
Long-tailed multi-label visual recognition (LTML) task is a highly
chall...
Federated learning (FL) enables multiple data owners to build machine
le...
Since random initial models in Federated Learning (FL) can easily result...
Federated learning (FL) has been recognized as a privacy-preserving
dist...
Commercial AI solutions provide analysts and managers with data-driven
b...
As a promising privacy-preserving machine learning method, Federated Lea...
Self-supervised learning for computer vision has achieved tremendous pro...
Along with the popularity of Artificial Intelligence (AI) and
Internet-o...
As a promising distributed machine learning paradigm, Federated Learning...
Materials representation plays a key role in machine learning based
pred...
Noncentrosymmetric materials play a critical role in many important
appl...
A major challenge in materials design is how to efficiently search the v...
A new hyperelastic membrane material model is proposed for single layer ...
Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become ...