TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations

23 May 2025

Papers citing "TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations"

35 / 35 papers shown

Title
Unreflected Use of Tabular Data Repositories Can Undermine Research Quality Andrej Tschalzev Lennart Purucker Stefan Lüdtke Frank Hutter Christian Bartelt Heiner Stuckenschmidt 93 3 0 13 Mar 2025
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets Tommaso Bendinelli Artur Dox Christian Holz LLMAG 116 3 0 09 Mar 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 274 16 0 08 Feb 2025
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data Zhiqiang Tang Zihan Zhong Tong He Gerald Friedland 166 1 0 19 Dec 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 276 13 0 31 Oct 2024
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets Assaf Shmuel Oren Glickman Teddy Lazebnik LMTD 72 7 0 27 Aug 2024
Large Scale Transfer Learning for Tabular Data via Language Modeling Josh Gardner Juan C. Perdomo Ludwig Schmidt LMTD 107 24 0 17 Jun 2024
Why Tabular Foundation Models Should Be a Research Priority B. V. Breugel M. Schaar LMTD VLM AI4CE 124 48 0 02 May 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang Haoyang Fang Su Zhou Taojiannan Yang Zihan Zhong Tony Hu Katrin Kirchhoff George Karypis 109 14 0 24 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models Sebastian Bordt Harsha Nori Vanessa Rodrigues Besmira Nushi Rich Caruana 86 17 0 09 Apr 2024
Making Pre-trained Language Models Great on Tabular Prediction Jiahuan Yan Bo Zheng Hongxia Xu Yiheng Zhu Danny Chen Jimeng Sun Jian Wu Jintai Chen LMTD 121 44 0 04 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 185 81 0 27 Feb 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 145 22 0 26 Feb 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Ben Feuer R. Schirrmeister Valeriia Cherepanova Chinmay Hegde Frank Hutter Micah Goldblum Niv Cohen Colin White 95 20 0 17 Feb 2024
Vectorizing string entries for data processing on tables: when are larger language models better? Léo Grinsztajn Edouard Oyallon Myung Jun Kim Gaël Varoquaux 66 3 0 15 Dec 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 132 10 0 23 Oct 2023
TabLib: A Dataset of 627M Tables with Context Gus Eggert Kevin Huo Mike Biven Justin Waugh LMTD 84 15 0 11 Oct 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 124 78 0 10 May 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Noah Hollmann Samuel G. Müller Frank Hutter 114 64 0 05 May 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 92 160 0 04 May 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT Ce Zhou Qian Li Chen Li Jun Yu Yixin Liu ... P. Xie Caiming Xiong Jian Pei Philip S. Yu U. Chicago AI4CE 106 529 0 18 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 76 70 0 04 Feb 2023
Text Embeddings by Weakly-Supervised Contrastive Pre-training Liang Wang Nan Yang Xiaolong Huang Binxing Jiao Linjun Yang Daxin Jiang Rangan Majumder Furu Wei VLM 263 624 0 07 Dec 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 135 235 0 19 Oct 2022
MTEB: Massive Text Embedding Benchmark Niklas Muennighoff Nouamane Tazi L. Magne Nils Reimers 575 422 0 13 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 117 255 0 12 Oct 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 84 58 0 25 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 58 47 0 07 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 123 318 0 05 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 139 64 0 30 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 85 151 0 19 May 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 115 181 0 10 Mar 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 106 170 0 20 Dec 2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields Xingjian Shi Jonas W. Mueller Nick Erickson Mu Li Alexander J. Smola LMTD 79 31 0 04 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 146 705 0 05 Oct 2021