TabTransformer: Tabular Data Modeling Using Contextual Embeddings

11 December 2020

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

8 / 8 papers shown

Title
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers Bogireddy Sai Prasanna Teja Valliappan Muthukaruppan Carls Benjamin 21 0 0 01 May 2025
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction Saram Abbas Naeem Soomro R. Shafik Rakesh Heer Kabita Adhikari 21 0 0 30 Apr 2025
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding Santosh Rajagopalan Jonathan Vronsky Songbai Yan S. Alireza Golestaneh Shubhra Chandra Min Zhou 34 30 0 26 Apr 2025
Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising Qi Yang Marlo Ongpin Sergey I. Nikolenko Alfred Huang Aleksandr Farseev DiffM OffRL 40 12 0 22 Apr 2025
Deep Learning with Pretrained Ínternal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Ayoub Jadouli Chaker El Amrani KELM AI4TS 36 31 0 20 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network Ali Eslamian Alireza Afzal Aghaei Qiang Cheng LMTD 39 0 0 09 Apr 2025
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data Simone Luetto Fabrizio Garuti E. Sangineto L. Forni Rita Cucchiara LMTD AI4TS 40 10 0 13 Feb 2023
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He Zhenhua Dong 92 60 0 12 Apr 2018