TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

4 February 2025

Papers citing "TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems"

24 / 24 papers shown

Title
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors Thomas Nagler David Rügamer UQCV 54 0 0 16 May 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 181 9 0 31 Oct 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 60 22 0 07 Jul 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han Chao Gao Jinyang Liu Jeff Zhang Sai Qian Zhang 189 363 0 21 Mar 2024
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 63 10 0 17 Nov 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 44 15 0 26 Jul 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data Kuan-Yu Chen Ping-Han Chiang Hsin-Rung Chou Tingwei Chen Tien-Hao Chang VPVLM LMTD VLM 38 24 0 29 May 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 69 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 58 145 0 04 May 2023
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning Vladislav Lialin Vijeta Deshpande Anna Rumshisky 65 170 0 28 Mar 2023
On the Effectiveness of Parameter-Efficient Fine-Tuning Z. Fu Haoran Yang Anthony Man-Cho So Wai Lam Lidong Bing Nigel Collier 43 156 0 28 Nov 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 67 283 0 05 Jul 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 87 663 0 05 Oct 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 80 720 0 22 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 468 3,952 0 18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 182 4,209 0 01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 80 549 1 22 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 182 432 0 11 Dec 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 517 41,106 0 28 May 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 47 84 0 19 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 116 487 0 17 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 120 1,314 0 20 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 381 5,714 0 25 Jul 2019