TabDPT: Scaling Tabular Foundation Models

23 October 2024

Papers citing "TabDPT: Scaling Tabular Foundation Models"

26 / 26 papers shown

Title
Chinchilla Scaling: A replication attempt T. Besiroglu Ege Erdil Matthew Barnett Josh You 85 24 0 15 Apr 2024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference Wei-Lin Chiang Lianmin Zheng Ying Sheng Anastasios Nikolas Angelopoulos Tianle Li ... Hao Zhang Banghua Zhu Michael I. Jordan Joseph E. Gonzalez Ion Stoica OSLM 156 596 0 07 Mar 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother Jordi Orbay Q. Vuong Adrien Ali Taïga Yevgen Chebotar ... Sergey Levine Pablo Samuel Castro Aleksandra Faust Aviral Kumar Rishabh Agarwal OffRL 103 66 0 06 Mar 2024
Self-supervised Representation Learning From Random Data Projectors Yi Sui Tongzi Wu Jesse C. Cresswell Ga Wu George Stein Xiao Shi Huang Xiaochen Zhang M. Volkovs 73 11 0 11 Oct 2023
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 148 23 0 11 Oct 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 109 77 0 10 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 71 159 0 04 May 2023
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 104 252 0 12 Oct 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 56 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 111 315 0 05 Jul 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 208 1,987 0 29 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 105 177 0 10 Mar 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 86 170 0 20 Dec 2021
Improving language models by retrieving from trillions of tokens Sebastian Borgeaud A. Mensch Jordan Hoffmann Trevor Cai Eliza Rutherford ... Simon Osindero Karen Simonyan Jack W. Rae Erich Elsen Laurent Sifre KELM RALM 254 1,100 0 08 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,827 0 11 Nov 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 127 676 0 30 Aug 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 72 177 0 29 Jun 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 207 459 0 11 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 682 41,483 0 22 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 889 42,463 0 28 May 2020
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 135 1,916 0 23 Apr 2019
Passage Re-ranking with BERT Rodrigo Nogueira Kyunghyun Cho OOD 126 1,097 0 13 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,062 0 09 Mar 2016
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 187 874 0 12 Feb 2015
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 179 1,328 0 29 Jul 2014