TabTransformer: Tabular Data Modeling Using Contextual Embeddings

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

11 December 2020

Milan Cvitkovic

Zohar S. Karnin

Papers citing "TabTransformer: Tabular Data Modeling Using Contextual Embeddings"

16 / 66 papers shown

Title
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach Pavol Mulinka Subham S. Sahoo Charalampos Kalalas P. H. Nardelli 14 3 0 07 Dec 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu D. Z. Chen Jian Wu 17 35 0 30 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 22 0 23 Nov 2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 46 210 0 19 Oct 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 22 355 0 18 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 21 41 0 07 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 28 135 0 19 May 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 155 0 10 Mar 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 10 4 0 04 Feb 2022
Bond Default Prediction with Text Embeddings, Undersampling and Deep Learning Luke Jordan 11 0 0 13 Oct 2021
Automated Essay Scoring Using Transformer Models Sabrina Ludwig Christian W. F. Mayer Christopher Hansen Kerstin Eilers Steffen Brandt 19 38 0 13 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 645 0 05 Oct 2021
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 20 27 0 23 Jul 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 19 696 0 22 Jun 2021
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He Zhenhua Dong 107 64 0 12 Apr 2018