Tag: ResNet

Researchers have unveiled a collaborative encryption framework that trains deep learning models on sensitive data up to three times faster ...

A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...

Researchers have developed a hypernetwork-based framework that lets continually learning AI systems erase specific tasks without access to the original ...

Researchers at Cincinnati Children's Hospital developed a two-stage deep learning pipeline that detects endotracheal tubes on pediatric chest X-rays with ...