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Eunyoung Hyung

2 accepted papers

2021

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

ICLR 2021poster

Despite the success of recent Neural Architecture Search (NAS) methods on various tasks which have shown to output networks that largely outperform human-designed networks, conventional NAS methods have mostly tackled the optimization of searching for the network architecture for a single task (data…

2021

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

NeurIPS 2021spotlight

Most conventional Neural Architecture Search (NAS) approaches are limited in that they only generate architectures without searching for the optimal parameters. While some NAS methods handle this issue by utilizing a supernet trained on a large-scale dataset such as ImageNet, they may be suboptimal…