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AssigneeMicrosoft Technology Licensing, LLC
InventorsXiyang DAI, Dongdong CHEN, Yinpeng CHEN, Mengchen LIU, Ye YU, Zicheng LIU, Mei CHEN, Lu YUAN, Junru WU
Estimating the term…
A neural architecture search (NAS) with a weak predictor comprises: receiving network architecture scoring information; iteratively sampling a search space, wherein the sampling comprises: generating a set of candidate architectures within the search space; learning a first predictor; evaluating performance of the candidate architectures; and based on at least the performance of the set of candidate architectures and the network architecture scoring information, refining the search space to a smaller search space; based on at least the network architecture scoring information, thresholding the performance of candidate architectures to determine scored output candidate architectures; and reporting the scored output candidate architectures. In some examples, the candidate architectures each comprise a machine learning (ML) model, for example a neural network (NN). In some examples, searching continues to iterate until stopping criteria is met, such as a specified maximum number of iterations or a set of candidate architectures achieves a performance goal.
A method of neural architecture search (NAS), the method comprising:
A system for neural architecture search (NAS), the system comprising:
One or more computer storage devices having computer-executable instructions stored thereon, which, on execution by a computer, cause the computer to perform operations comprising:
Dependencies are inferred from the claim text.