Latest Review by SuDIS-ZJU: Tabular Data Augmentation in the Era of Generative AI
Machine learning on tabular data is widely used in finance, healthcare, and education, but collecting sufficient high-quality data remains difficult. SuDIS reviews 70 studies from 2010 to 2024 and organizes the field into pre-augmentation, augmentation, and post-augmentation stages.
The review distinguishes retrieval-based and generative augmentation and discusses how generative AI is reshaping the research agenda. Related resources will continue to be maintained in the public repository.