3 accepted papers
Federated semantic segmentation enables pixel-level classification in images through collaborative learning while maintaining data privacy. However, existing research commonly overlooks the fine-grained class relationships within the semantic space when addressing heterogeneous problems, particularl
Multi-interest recommendation is to predict the next item by representing diversity of a user preference with multiple interest embeddings. Although existing methods have achieved convincing results in recommendation tasks, they ignore the continuously changing relations of no-adjacent items in a se
Predicting the sentiment polarity of aspect terms in sentences is the goal of Aspect-Based Sentiment Analysis(ABSA) task. Graph Convolutional Network(GCN) is used in majority of the ABSA task due to its ability to effectively capture the dependencies among words or entities within sentences. However…