Scalable Multi-Modal Representation Learning Networks

Information Science, Computer Science, Artificial Intelligence,
multi-modal learning   representation learning   inductive models   sparse regularization   hypergraph embedding  

Academic Background In the field of artificial intelligence, Multi-modal Representation Learning (MMRL) is a powerful paradigm aimed at mapping inputs from different modalities into a shared representation space. For example, in social networks, users often share both images and text simultaneously. Through multi-modal representation learning, mode...

Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Life Sciences, Bioengineering, Genetics,
non-coding RNA   multi-modal learning   deep learning   classification   annotation   bioinformatics   interpretability  

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...