no code implementations • 10 May 2024 • Wenjin Zhang, Keyi Li, Sen yang, Chenyang Gao, Wanzhao Yang, Sifan Yuan, Ivan Marsic
To overcome this limitation and improve SSL performance, we introduce \algo, a novel algorithm that fully utilizes unlabeled data to boost semi-supervised learning.
no code implementations • CVPR 2022 • Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan
High-order decomposition is a widely used model compression approach towards compact convolutional neural networks (CNNs).
no code implementations • 29 Sep 2021 • Wanzhao Yang, Miao Yin, Yang Sui, Bo Yuan
Based on the observations and outcomes from our analysis, we then propose SPARK, a unified DNN compression framework that can simultaneously capture model SPArsity and low-RanKness in an efficient way.