Supplementary Material of IST A-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Yibo Y ang

Neural Information Processing Systems 

We perform our experiments on both CIFAR-10 and ImageNet. The images are normalized by mean and standard deviation. The images are normalized by mean and standard deviation. Concretely, the super-net for search is composed of 6 normal cells and 2 reduction cells, and has an initial number of channels of 16. Each cell has 6 nodes.

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