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Found 4 papers, 1 papers with code
Understanding the Role of Pathways in a Deep Neural Network
Deep neural networks have demonstrated superior performance in artificial intelligence applications, but the opaqueness of their inner working mechanism is one major drawback in their application.
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
CM-GNN further introduces an attention-based fusion module to learn pairwise relation-based session representation by fusing the item representations generated by L-GCN and G-GCN.
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
For this, we propose a novel Contrastive GCN-Transformer Network (ConGT) which fuses the spatial and temporal modules in a parallel way.
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
In this paper, we present TreeBERT, a tree-based pre-trained model for improving programming language-oriented generation tasks.
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