architecture designs over fitted to sell to supervised learning tasks such as recognition and detection and should maybe these neural architecture searches be deployed into self supervised learning or into like a pipeline of self supervised learning and then taking the representations into the classification models but then using the hyper parameter neural architecture search and all these heuristic tricks to design this jointly on self supervised tasks forth for the downstream representation learning so self supervised learning is