TabTransformer: Tabular Data Modeling Using Contextual Embeddings

11 December 2020

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

50 / 66 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 159 0 0 09 May 2025
Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang Xiyuan Wang Quan Gan Minjie Wang Qibin Yang David Wipf Muhan Zhang 85 0 0 08 May 2025
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers Bogireddy Sai Prasanna Teja Valliappan Muthukaruppan Carls Benjamin 49 0 0 01 May 2025
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction Saram Abbas Naeem Soomro R. Shafik Rakesh Heer Kabita Adhikari 51 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 66 0 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 78 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 81 0 0 20 Apr 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 34 0 0 16 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network Ali Eslamian Alireza Afzal Aghaei Qiang Cheng LMTD 78 0 0 09 Apr 2025
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning Ali Eslamian Qiang Cheng 43 0 0 12 Mar 2025
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach Andreas Loizou Dimitrios Tsoumakos 38 0 0 24 Feb 2025
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting Gyanendra Shrestha Chutain Jiang Sai Akula Vivek Yannam Anna Pyayt Michael Gubanov LMTD 89 0 0 20 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 5 0 04 Feb 2025
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations Linke Ouyang Yuan Qu Hongbin Zhou Jiawei Zhu Rui Zhang ... Chao Xu Bo Zhang Botian Shi Zhongying Tu Conghui He 101 5 0 10 Dec 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 28 1 0 17 Oct 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data A. Yarkın Yıldız Asli Kalayci LMTD 61 3 0 25 Sep 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach Yifei Chen Shenghao Zhu Zhaojie Fang Chang Liu Binfeng Zou ... Fan Jia Feiwei Qin Jin Fan Yong Peng Changmiao Wang 28 1 0 29 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 73 6 0 12 Aug 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration Hangting Ye Wei Fan Xiaozhuang Song Shun Zheng He Zhao Dandan Guo Yi Chang OOD 40 18 0 07 Jul 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev Paul Nitschke Lukas Kirchdorfer Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 29 0 0 01 Jul 2024
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com Sergei Krutikov Bulat Khaertdinov Rodion Kiriukhin Shubham Agrawal Kees Jan de Vries LMTD 48 0 0 22 May 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks Feng-Lei Fan Meng Wang Hang Dong Jianwei Ma Tieyong Zeng 38 0 0 03 May 2024
Contextual Chart Generation for Cyber Deception David D. Nguyen David Liebowitz Surya Nepal S. Kanhere Sharif Abuadbba 41 0 0 07 Apr 2024
Multi-modal Deep Learning Chen Yuhua MedIm 25 35 0 06 Mar 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 37 65 0 27 Feb 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 50 14 0 22 Feb 2024
Multimodal Clinical Trial Outcome Prediction with Large Language Models Wenhao Zheng Dongsheng Peng Hongxia Xu Yun-Qing Li Hongtu Zhu Tianfan Fu Huaxiu Yao Huaxiu Yao 47 5 0 09 Feb 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data Wei-Yao Wang Wei-Wei Du Derek Xu Wei Wang Wenjie Peng LMTD 32 7 0 02 Feb 2024
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences Piotr Skalski David Sutton Stuart Burrell Iker Perez Jason Wong AI4TS 34 2 0 03 Jan 2024
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 21 2 0 12 Dec 2023
Saturn Platform: Foundation Model Operations and Generative AI for Financial Services Antonio Busson Rennan Gaio Rafael H. Rocha Francisco Evangelista Bruno Rizzi Luan Carvalho Rafael Miceli Marcos Rabaioli David Favaro 25 1 0 12 Dec 2023
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data David R. Bellamy Bhawesh Kumar Cindy Wang Andrew L. Beam MedIm 28 3 0 09 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 40 30 0 07 Dec 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 51 2 0 24 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Rita Kuznetsova Alizée Pace Manuel Burger Hugo Yèche Gunnar Rätsch AI4TS 27 5 0 15 Nov 2023
A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features Shan Cao Qunsheng Ruan Qingfeng Wu Weiqiang Lin LM&MA 31 0 0 06 Sep 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 17 1 0 01 Sep 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning A. Li Mingyue Shang Evangelia Spiliopoulou Jie Ma Patrick K. L. Ng ... William Yang Wang Kathleen McKeown Vittorio Castelli Dan Roth Bing Xiang 38 2 0 10 Aug 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang Yuqi Wang Guangyi Liu Ledell Yu Wu Qi Liu LMTD 32 15 0 18 Jul 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Kenta Oono Nontawat Charoenphakdee K. Bito Zhengyan Gao Yoshiaki Ota ... Kohei Hayashi Yuki Saito Koki Tsuda Hiroshi Maruyama K. Hayashi 30 1 0 19 Jun 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 25 2 0 07 Jun 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang Chufan Gao Cao Xiao Jimeng Sun LMTD 20 12 0 20 May 2023
Self-Reinforcement Attention Mechanism For Tabular Learning Kodjo Mawuena Amekoe M. Dilmi Hanene Azzag M. Lebbah Zaineb Chelly Dagdia Gregoire Jaffre 37 0 0 19 May 2023
ALMERIA: Boosting pairwise molecular contrasts with scalable methods Rafael Mena Yedra J. L. Redondo H. Sánchez P. M. Ortigosa 14 0 0 28 Apr 2023
TABLET: Learning From Instructions For Tabular Data Dylan Slack Sameer Singh LMTD ALM RALM 15 17 0 25 Apr 2023
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data Y. Ruan Xiang Lan Daniel J. Tan H. Abdullah Mengling Feng LMTD MedIm 40 1 0 30 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 26 4 0 27 Mar 2023
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 81 10 0 13 Feb 2023
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations Jifan Chen Yuhao Zhang Lan Liu Rui Dong Xinchi Chen Patrick K. L. Ng William Yang Wang Zhiheng Huang AI4CE 24 4 0 17 Dec 2022