Language Program

Research on Addressing Label Noise Accepted for Presentation at IEEE BigData 2023 Conference


We are thrilled to announce that a research paper authored by Rakuten Institute of Technology (RIT) in Boston has been accepted for presentation at the IEEE BigData 2023 conference! This collaborative effort, involving our former intern Tianqi Wang, has paved the way for RIT to explore innovative approaches in addressing label noise during supervised learning.

Title: A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item Categorization

Authors: Tianqi Wang (Former Intern), Lei Chen (RIT), and Jing Gao (Associate professor at Purdue University)

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