no code implementations • 17 Aug 2022 • Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen
However, most existing NAS-based works suffer from expensive computational costs, the curse of dimensionality of the search space, and the discrepancy between continuous search space and discrete candidate space.
no code implementations • 7 Dec 2021 • Lin Guan, Xia Xiao, Ming Chen, Youlong Cheng
Inspired by gradient-based neural architecture search (NAS) and network pruning methods, people have tackled the NFS problem with Gating approach that inserts a set of differentiable binary gates to drop less informative features.
no code implementations • 3 Mar 2020 • Hang Song, Bo Wei, Qun Yu, Xia Xiao, Takamaro Kikkawa
A theoretical model is proposed to quantitatively describe the relationship between CSI data and dielectric properties of the material.
1 code implementation • NeurIPS 2019 • Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran
Reducing the model redundancy is an important task to deploy complex deep learning models to resource-limited or time-sensitive devices.
no code implementations • ICLR 2018 • Xia Xiao, Sanguthevar Rajasekaran
In our model, we propose an adjustment component that collects all the generated data points from the generators, learns the boundary between each pair of generators, and provides error to separate the support of each of the generated distributions.