The existing graph neural architecture search (GNAS) methods heavily rely on supervised
labels during the search process, failing to handle ubiquitous scenarios where supervisions …

Automated machine learning (AutoML) has achieved remarkable success in automating the
non-trivial process of designing machine learning models. Among the focal areas of AutoML …

Siamese networks are one of the most trending methods to achieve self-supervised visual
representation learning (SSL). Since hand labeling is costly, SSL can play a crucial part by …

Supervised deep learning models encounter two major challenges: labeled datasets for
training and parameter overhead, which leads to extensive GPU usage and other …