In recent years, deep learning has become a breakthrough technique in
as...
Inferencing unlabeled data from labeled data is an error-prone process.
...
The target of 2D human pose estimation is to locate the keypoints of bod...
Federated learning is a recently proposed paradigm that enables multiple...
Outlier detection and novelty detection are two important topics for ano...
Digitized pathological diagnosis has been in increasing demand recently....
A trojan backdoor is a hidden pattern typically implanted in a deep neur...
Recently, deep learning has been applied to many security-sensitive
appl...