Search Results for author:
Found 7 papers, 2 papers with code
Compositionality-Aware Graph2Seq Learning
It is expected that the compositionality in a graph can be associated to the compositionality in the output sequence in many graph2seq tasks.
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities
It has an attention pooling layer for each message passing step and computes the final graph representation by unifying the layer-wise graph representations.
Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach
An automatic mouse behavior recognition system can considerably reduce the workload of experimenters and facilitate the analysis process.
A Hierarchical Mixture Density Network
One of the complicated relationships among three correlated variables could be a two-layer hierarchical many-to-many mapping.
Towards Generation of Visual Attention Map for Source Code
Program comprehension is a dominant process in software development and maintenance.
Toward Imitating Visual Attention of Experts in Software Development Tasks
Expert programmers' eye-movements during source code reading are valuable sources that are considered to be associated with their domain expertise.
Application of SsVGMM to medical data-classification with novelty detection
There is a considerable demand to apply classification in medical analysis.
