Well-tuned Simple Nets Excel on Tabular Datasets

21 June 2021

Papers citing "Well-tuned Simple Nets Excel on Tabular Datasets"

37 / 37 papers shown

Title
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
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It Jianhao Li Xianchao Xiu 39 0 0 31 Mar 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 48 1 0 12 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
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
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 38 0 0 26 Sep 2024
Multimodal Metadata Assignment for Cultural Heritage Artifacts Luis Rei Dunja Mladenić M. Dorozynski Franz Rottensteiner Thomas Schleider Raphael Troncy J. Lozano Mar Gaitán Salvatella 31 6 0 01 Jun 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 47 18 0 09 Apr 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 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 37 66 0 27 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 38 7 0 02 Feb 2024
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 56 2 0 24 Nov 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees Aleksei G. Sorokin Xinran Zhu E. Lee Bolong Cheng 30 2 0 10 Jul 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang Chufan Gao Cao Xiao Jimeng Sun LMTD 25 12 0 20 May 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Efficient Multi-stage Inference on Tabular Data Daniel S Johnson Igor L. Markov 30 0 0 21 Mar 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 26 22 0 23 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 16 7 0 19 Nov 2022
Flaky Performances when Pretraining on Relational Databases Shengchao Liu David Vazquez Jian Tang Pierre-Andre Noel 26 2 0 09 Nov 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 21 4 0 21 Oct 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
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography Tengfei Xue Fan Zhang L. Zekelman Chaoyi Zhang Yuqian Chen ... W. Wells Yogesh Rathi N. Makris Weidong Cai L. O’Donnell 27 7 0 13 Oct 2022
Feature Encodings for Gradient Boosting with Automunge Nicholas J. Teague 30 0 0 25 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 25 0 0 08 Sep 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 32 356 0 18 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 21 41 0 07 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction Taehyeon Kim Namgyu Ho Donggyu Kim Se-Young Yun BDL 20 6 0 30 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 33 135 0 19 May 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 156 0 10 Mar 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 13 1 0 18 Feb 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 647 0 05 Oct 2021
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
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 249 205 0 25 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 91 294 0 13 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016