1 code implementation • NeurIPS 2019 • Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Neural architecture search (NAS) is inherently subject to the gap of architectures during searching and validating.
no code implementations • 6 May 2019 • Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan
For network architecture search (NAS), it is crucial but challenging to simultaneously guarantee both effectiveness and efficiency.
no code implementations • ICLR 2019 • Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.
1 code implementation • 17 Jan 2019 • Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
In our implementations, architectures are first searched on a small dataset, e. g., CIFAR-10.
no code implementations • 23 Nov 2018 • Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan
Here our goal is to automatically find a compact neural network model with high performance that is suitable for mobile devices.
1 code implementation • 5 Nov 2018 • Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.