DNF-Net: A Neural Architecture for Tabular Data

11 June 2020

Papers citing "DNF-Net: A Neural Architecture for Tabular Data"

7 / 7 papers shown

Title
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 62 13 0 26 Feb 2024
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 20 6 0 22 Feb 2023
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 35 357 0 18 Jul 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 46 137 0 19 May 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen Kuan-Yu Liao Yao Wan Danny Chen Jian Wu LMTD 43 50 0 06 Dec 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 91 19 0 06 Aug 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 93 297 0 13 Sep 2019