Convolutional Neural Networks

GreedyNAS-A

Introduced by You et al. in GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

GreedyNAS-A is a convolutional neural network discovered using the GreedyNAS neural architecture search method. The basic building blocks used are inverted residual blocks (from MobileNetV2) and squeeze-and-excitation blocks.

Source: GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Image Classification 1 100.00%

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