Work

Refining Deep Active Learning Pipelines: Leveraging Pseudo-Labeling and Label Calibration for Enhancing Dataset Quality

Year: 2025

Type: conference-paper

Source: International Conference on Computing and Artificial Intelligence (ICCAI)

DOI: 10.1109/iccai66501.2025.00010

Authors: Tomoya Kasuga, Gongye Jin, Akira Yuasa, Daria Vazhenina, Narimasa Watanabe

Institutions: NTT (Japan), NTT DATA Group Corporation (Japan)

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413206412

FWCI:

Cites: 30

Cited by:

Related to: 10