1 code implementation • 24 Mar 2024 • Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
Therefore, mini-batch training for graph transformers is a promising direction, but limited samples in each mini-batch can not support effective dense attention to encode informative representations.
1 code implementation • 6 Mar 2024 • Zequn Zeng, Yan Xie, Hao Zhang, Chiyu Chen, Zhengjue Wang, Bo Chen
The framework of MeaCap achieves the state-of-the-art performance on a series of zero-shot IC settings.
1 code implementation • 18 Jun 2021 • Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, YiXuan Wang, Yanlin Chen, Leye Wang, Man Huang
To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data).
no code implementations • RANLP 2017 • Zhihua Liao, Yan Xie
In this paper, we propose a novel supervised model for parsing natural language sentences into their formal semantic representations.