Are Labels Necessary for Neural Architecture Search?
Existing neural network architectures in computer vision — whether designed by humans or by machines — were typically found using both images and their associated labels. In this paper, we ask the question: can we find high-quality neural architectures using only images, but no human-annotated labels? To answer this question, we first define a new setup called Unsupervised Neural Architecture Search (UnNAS). (Read more)
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