no code implementations • 21 Nov 2023 • Shufa Wei, Xiaolong Xu, Xianbiao Qi, Xi Yin, Jun Xia, Jingyi Ren, Peijun Tang, Yuxiang Zhong, Yihao Chen, Xiaoqin Ren, Yuxin Liang, Liankai Huang, Kai Xie, Weikang Gui, Wei Tan, Shuanglong Sun, Yongquan Hu, Qinxian Liu, Nanjin Li, Chihao Dai, Lihua Wang, Xiaohui Liu, Lei Zhang, Yutao Xie
Our training corpus mainly consists of academic papers, thesis, content from some academic domain, high-quality Chinese data and others.
no code implementations • 23 Mar 2021 • Shiyu Tang, Peijun Tang, Yanxiang Gong, Zheng Ma, Mei Xie
It draws class-wise features closer than coarse feature alignment or class-wise feature alignment only, therefore improves the model's performance to a great extent.
no code implementations • 5 Mar 2021 • Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu
Disentanglement is defined as the problem of learninga representation that can separate the distinct, informativefactors of variations of data.