‌Neural Architectures are used in Deep Learning. They are the networks of neurons and links between them which are trained in order to predict the results we are seeking. However, it is a complex and expensive process to identify a good Neural Architecture for a given problem. Here we are developing new appoaches for finding good architectures for differnt problems. 

We are running a competition for CVPR 2021 on Neural Architecture Search for unseen datasets.