Flow matching is a recent framework to train generative models that exhi...
In this study, we emphasize the integration of a pre-trained MICA model ...
In this paper, an ontology-based approach is used to organize the knowle...
Matrix factorization (MF) is a common method for collaborative filtering...
In recent years, studies on automatic speech recognition (ASR) have show...
We study pool-based active learning with abstention feedbacks where a la...
Shopping transaction analysis is important for understanding the shoppin...
Shopping basket data analysis is significant in understanding the shoppi...
Hyperledger Fabric is a modular and extensible open-source system for
de...
We study pool-based active learning with abstention feedbacks, where a
l...