TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

5 July 2022

Noah Hollmann

Samuel G. Müller

Katharina Eggensperger

Frank Hutter

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Papers citing "TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second"

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Title
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 19 0 0 14 May 2025
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 172 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 88 0 0 08 May 2025
In-Context Adaptation to Concept Drift for Learned Database Operations Jiaqi Zhu Shaofeng Cai Yanyan Shen Gang Chen Fang Deng Beng Chin Ooi VLM 47 0 0 07 May 2025
Hybrid Quantum Recurrent Neural Network For Remaining Useful Life Prediction Olga Tsurkan Aleksandra Konstantinova Aleksandr Sedykh Dmitrii Zhiganov Arsenii Senokosov Daniil Tarpanov Matvei Anoshin Leonid Fedichkin 29 0 0 29 Apr 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 101 0 0 01 Apr 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 57 2 0 22 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 97 0 0 20 Feb 2025
TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data Leonardo Berti Gjergji Kasneci AI4TS 42 0 0 12 Feb 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks Michael Arbel David Salinas Frank Hutter 70 2 0 10 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 6 0 04 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 63 0 0 28 Jan 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 92 6 0 31 Oct 2024
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 39 1 0 17 Oct 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 35 1 0 17 Oct 2024
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Hugo Thimonier José Lucas De Melo Costa Fabrice Popineau Arpad Rimmel Bich-Liên Doan 53 1 0 07 Oct 2024
NRGBoost: Energy-Based Generative Boosted Trees João Bravo 42 0 0 04 Oct 2024
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models Joseph Lee Shu Yang Jae Young Baik Xiaoxi Liu Zhen Tan ... Zixuan Wen Bojian Hou D. Duong-Tran Tianlong Chen Li Shen 44 1 0 02 Oct 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
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data Valentin Margraf Marcel Wever Sandra Gilhuber Gabriel Marques Tavares Thomas Seidl Eyke Hüllermeier 44 0 0 25 Jun 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Yaojie Hu Ilias Fountalis Jin Tian N. Vasiloglou LMTD 36 3 0 24 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin Niki van Stein Carola Doerr T. Eftimov 46 1 0 08 Jun 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 34 2 0 16 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 37 9 0 25 Apr 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 59 13 0 26 Feb 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 53 14 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 46 15 0 22 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 35 7 0 02 Feb 2024
MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Müller Carlo Curino Raghu Ramakrishnan LMTD 38 2 0 14 Dec 2023
Incorporating LLM Priors into Tabular Learners Max Zhu Sinivsa Stanivuk Andrija Petrović Mladen Nikolic Pietro Lió 10 1 0 20 Nov 2023
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 29 10 0 17 Nov 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 31 19 0 31 Oct 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 16 0 18 Jul 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 29 47 0 24 Mar 2023
Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions D. Ivlev 13 4 0 09 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 34 72 0 08 Dec 2022
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 41 2 0 01 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 55 211 0 19 Oct 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 47 61 0 04 Nov 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 280 2,015 0 28 Jul 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016