More drama in the contest between traditional machine learning models and deep learning models when it comes to tabular data.We have on the show Vadim Borisov, a research fellow at the University of Tubingen as well as Kathrin Sessler, a PhD student from the same university.This episode will be led by Ankush Garg, exploring Vadim and Kathrin's recent paper “Deep Neural Networks and Tabular Data: A Survey”.Paper: https://arxiv.org/pdf/2110.01889.pdfSAINT paper: https://arxiv.org/abs/2106.01342Deep learning architectures and the hippocampus paper: https://arxiv.org/abs/2112.04035We will also do a brief form of house keeping about the show and some of the upcoming episodes.As always, if you have ideas, questions, feedback, or would like to be interviewed on the show: please reach out at [email protected].

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