no code implementations • 25 Aug 2021 • Huiqun Wang, Ruijie Yang, Di Huang, Yunhong Wang
Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation of network representation and dramatically accelerates Neural Architecture Search (NAS) by almost thousands of times in GPU-day.
Ranked #9 on Neural Architecture Search on CIFAR-10
no code implementations • ICCV 2021 • Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang
This paper proposes a novel deep learning approach, namely Graph Convolutional Network with Point Refinement (PR-GCN), to simultaneously address the issues above in a unified way.