12 citations · 12 across the 4 of their papers we have counts for
4 papers
DSBERT:Unsupervised Dialogue Structure learning with BERT
Bingkun Chen, Shaobing Dai, Shenghua Zheng +2
Unsupervised dialogue structure learning is an important and meaningful task in natural language processing. The extracted dialogue structure and process can help analyze human dia…
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
Xiang Huang, Hongsheng Liu, Beiji Shi +11
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a pro…
Interpretable Models in ANNs
Yang Li
Artificial neural networks are often very complex and too deep for a human to understand. As a result, they are usually referred to as black boxes. For a lot of real-world problems…
Inferring Latent dimension of Linear Dynamical System with Minimum Description Length
Yang Li
Time-invariant linear dynamical system arises in many real-world applications,and its usefulness is widely acknowledged. A practical limitation with this model is that its latent d…