1 code implementation • 16 Aug 2019 • Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
To discover powerful yet compact models is an important goal of neural architecture search.
Ranked #76 on Neural Architecture Search on ImageNet
2 code implementations • 4 Aug 2019 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
Bearing the target hardware in mind, we propose the first Mobile GPU-Aware (MoGA) neural architecture search in order to be precisely tailored for real-world applications.
Ranked #857 on Image Classification on ImageNet
2 code implementations • ICCV 2021 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
We demonstrate that this is crucial for improving the confidence of models' ranking.
Ranked #3 on Neural Architecture Search on CIFAR-10 (using extra training data)
2 code implementations • arXiv 2019 • Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li
Deep convolutional neural networks demonstrate impressive results in the super-resolution domain.
Ranked #16 on Image Super-Resolution on BSD100 - 2x upscaling
4 code implementations • 4 Jan 2019 • Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma
In this paper, we present a new multi-objective oriented algorithm called MoreMNAS (Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search) by leveraging good virtues from both EA and RL.