A Closer Look at TabPFN v2: Strength, Limitation, and Extension

24 February 2025

Papers citing "A Closer Look at TabPFN v2: Strength, Limitation, and Extension"

23 / 23 papers shown

Title
Realistic Evaluation of TabPFN v2 in Open Environments Zi-Jian Cheng Zi-Yi Jia Zhi Zhou Yu-Feng Li Lan-Zhe Guo 44 0 0 22 May 2025
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Si-Yang Liu Qile Zhou Han-Jia Ye LMTD LRM 83 0 0 19 May 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 87 0 0 24 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 117 2 0 17 Apr 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks Michael Arbel David Salinas Frank Hutter 105 2 0 10 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 130 10 0 04 Feb 2025
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration Hangting Ye Wei Fan Xiaozhuang Song Shun Zheng He Zhao Dandan Guo Yi Chang OOD 64 22 0 07 Jul 2024
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 67 10 0 17 Nov 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 95 20 0 11 Oct 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 46 15 0 26 Jul 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 71 67 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 60 145 0 04 May 2023
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 36 43 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 80 283 0 05 Jul 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 616 9,009 0 28 Jan 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 94 663 0 05 Oct 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 85 720 0 22 Jun 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 188 432 0 11 Dec 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 49 84 0 19 Feb 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 130 303 0 13 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 135 1,314 0 20 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 450 5,714 0 25 Jul 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 526 129,831 0 12 Jun 2017