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Found 5 papers, 2 papers with code
Leveraging Label Information for Multimodal Emotion Recognition
Finally, we devise a novel label-guided attentive fusion module to fuse the label-aware text and speech representations for emotion classification.
BI-GreenNet: Learning Green's functions by boundary integral network
In addition, we also use the Green's function calculated by our method to solve a class of PDE, and also obtain high-precision solutions, which shows the good generalization ability of our method on solving PDEs.
M2N: Mesh Movement Networks for PDE Solvers
However, mesh movement methods, such as the Monge-Ampere method, require the solution of auxiliary equations, which can be extremely expensive especially when the mesh is adapted frequently.
A neural network framework for learning Green's function
Green's function plays a significant role in both theoretical analysis and numerical computing of partial differential equations (PDEs).
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Specifically, we first modify the recurrence mechanism of XLNet from segment-level to utterance-level in order to better model the conversational data.
Ranked #2 on
Emotion Recognition in Conversation
on CPED
