1 code implementation • 10 Sep 2023 • Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan. Z Li, Yang You
With the help of iterative training of the semantic encoder and diffusion model, DiffAug improves the representation ability in an uninterrupted and unsupervised manner.
2 code implementations • 4 Oct 2021 • Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan. Z Li
\textbf{A}ccuracy, \textbf{R}obustness to noises and scales, \textbf{I}nterpretability, \textbf{S}peed, and \textbf{E}asy to use (ARISE) are crucial requirements of a good clustering algorithm.
Ranked #1 on Clustering Algorithms Evaluation on Fashion-MNIST
no code implementations • 28 Dec 2020 • Zhangyang Gao, Haitao Lin, Stan. Z Li
Convolution and pooling are the key operations to learn hierarchical representation for graph classification, where more expressive $k$-order($k>1$) method requires more computation cost, limiting the further applications.