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Found 5 papers, 2 papers with code
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
Furthermore, an LLMs explanation mechanism is proposed by prompting an LLM with the predicted results from BERT models.
FedVMR: A New Federated Learning method for Video Moment Retrieval
As the first that is explored in VMR field, the new task is defined as video moment retrieval with distributed data.
Self-supervised Graph-based Point-of-interest Recommendation
In order to counteract the scarcity and incompleteness of POI check-ins, we propose a novel self-supervised learning paradigm in \ssgrec, where the trajectory representations are contrastively learned from two augmented views on geolocations and temporal transitions.
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation
A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a set of labeled source domains, to an unlabeled target domain.
Lightweight Self-Attentive Sequential Recommendation
Modern deep neural networks (DNNs) have greatly facilitated the development of sequential recommender systems by achieving state-of-the-art recommendation performance on various sequential recommendation tasks.
