Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs

no code implementations • 27 Jun 2023 • Navindu Leelarathna, Andrei Margeloiu, Mateja Jamnik, Nikola Simidjievski

Variational Autoencoders and their many variants have displayed impressive ability to perform dimensionality reduction, often achieving state-of-the-art performance.

Data Augmentation Dimensionality Reduction +1