Feb 1, 2021 � The proposed Zen-NAS is magnitude times faster on multiple server-side and mobile-side GPU platforms with state-of-the-art accuracy on ImageNet.

Within half GPU day, the ZenNets designed by Zen-. NAS achieve up to 83.6% top-1 accuracy on ImageNet that is as accurate as EfficientNet-B5 with inference.

Within half GPU day, the ZenNets designed by Zen-. NAS achieve up to 83.6% top-1 accuracy on ImageNet that is as accurate as EfficientNet-B5 with inference.

A novel zero-shot index dubbed Zen- score is proposed to rank the architectures in Neural Architecture Search by maximizing the Zen-Score of the target�...

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. Zen-NAS is a lightning fast, training-free Neural Architecture Searching (NAS)�...

The proposed Zen-NAS is magnitude times faster on multiple server-side and mobile-side GPU platforms with state-of-the-art accuracy on ImageNet.

To reduce the search time, zero-shot NAS aims at designing training-free proxies that can predict the test performance of a given architecture. However, as�...

Aug 23, 2021 � We apply Zen-NAS to search optimal networks under various inference budgets, including inference latency, FLOPs (Floating Point Operations) and�...

Feb 1, 2021 � A key component in Neural Architecture Search (NAS) is an accuracy predictor which asserts the accuracy of a queried architecture.

Feb 7, 2023 � Comparing with previous NAS methods, the proposed Zen-NAS is magnitude times faster on multiple server-side and mobile-side GPU platforms with�...