1 code implementation • 17 Feb 2024 • Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
This strategy can implicitly enhance the model's robustness during the optimization process, mitigating instability risks arising from multimodal information inputs.
1 code implementation • 6 Oct 2022 • Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
However, most existing methods mainly focus on the dialogue context or assist with global satisfaction prediction based on multi-task learning, which ignore the grounded relationships among the causal variables, like the user state and labor cost.
no code implementations • 3 Apr 2020 • Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
We present a multi-filtering Graph Convolution Neural Network (GCN) framework for network embedding task.