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.pdf
SAINT paper: https://arxiv.org/abs/2106.01342
Deep learning architectures and the hippocampus paper: https://arxiv.org/abs/2112.04035
We 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 hello@automlpodcast.com.
