no code implementations • 13 Jan 2022 • Zhimin Tang, Linkai Luo, Bike Xie, Yiyu Zhu, Rujie Zhao, Lvqing Bi, Chao Lu
In this work, we propose a new automatic pruning method - Sparse Connectivity Learning (SCL).
no code implementations • 27 Feb 2020 • Jinglan Liu, Yukun Ding, JinJun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi
For example, if the noise is large leading to significant difference between domain $X$ and domain $Y$, can we bridge $X$ and $Y$ with an intermediate domain $Z$ such that both the denoising process between $X$ and $Z$ and that between $Z$ and $Y$ are easier to learn?