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What is: Neural Architecture Search?

SourceLearning Transferable Architectures for Scalable Image Recognition
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Neural Architecture Search (NAS) learns a modular architecture which can be transferred from a small dataset to a large dataset. The method does this by reducing the problem of learning best convolutional architectures to the problem of learning a small convolutional cell. The cell can then be stacked in series to handle larger images and more complex datasets.

Note that this refers to the original method referred to as NAS - there is also a broader category of methods called "neural architecture search".