This article discusses the risks associated with machine learning-based intrusion detection models, including non-explainable results and adversarial attacks. It also explores new advanced protections…
Browsing: Contrastive Learning
PeterRec is the first paper in the field of recommender systems to explicitly claim the universality of user representations based on self-supervised pre-training. Conure…
This Special Issue focuses on the most recent advances in the models, algorithms, theories, and applications of Graph Machine Learning (GML), both in academic…
DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. These sessions…