no code implementations • ICLR 2022 • Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Principal component analysis is a simple yet useful dimensionality reduction technique in modern machine learning pipelines.
no code implementations • 1 Jan 2021 • Toan Tran, Hieu Vu, Gustavo Carneiro, Hung Bui
Label noise is a natural event of data collection and annotation and has been shown to have significant impact on the performance of deep learning models regarding accuracy reduction and sample complexity increase.