Work

DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency

Year: 2024

Type: article

Source: IEEE Transactions on Knowledge and Data Engineering

DOI: 10.1109/tkde.2024.3482466

Authors: Wei Huang, Yunxiao Zhang, Shangmin Guo, Yu-Ming Shang, Xiangling Fu

Institutions: Beijing University of Posts and Telecommunications, PLA Academy of Military Science, University of Edinburgh

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Fundamental Research Funds for the Central Universities

Awards: G3277487559, G4790749720, G4801820239, G7864948186

OpenAlex ID: W4403447587

FWCI: 1.032

Cites: 54

Cited by: 7

Related to: 10