When Do Neural Nets Outperform Boosted Trees on Tabular Data?

4 May 2023

Ganesh Ramakrishnan

Papers citing "When Do Neural Nets Outperform Boosted Trees on Tabular Data?"

27 / 27 papers shown

Title
Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks Mathew Vanherreweghe Lirandë Pira Patrick Rebentrost 27 0 0 21 May 2025
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought Cheng Yan Felix Mohr Tom Viering 27 0 0 21 May 2025
RanDeS: Randomized Delta Superposition for Multi-Model Compression Hangyu Zhou Aaron Gokaslan Volodymyr Kuleshov Bharath Hariharan MoMe 32 0 0 16 May 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 36 0 0 16 Apr 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 93 0 0 13 Mar 2025
LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping J. Schmidinger S. Vogel V. Barkov A.-D. Pham R. Gebbers ... P. Rosso M. M. Costa R. S. Zandonadi J. Wetterlind M. Atzmueller 70 0 0 27 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 86 8 0 04 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 77 0 0 31 Jan 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 102 0 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 75 0 0 23 Jan 2025
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models Ricardo Knauer Mario Koddenbrock Raphael Wallsberger Nicholas M. Brisson Georg N. Duda Deborah Falla David W. Evans Erik Rodner 53 0 0 27 Sep 2024
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles Youssouf Emine Alexandre Forel Idriss Malek Thibaut Vidal 49 0 0 28 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 76 6 0 12 Aug 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 75 3 0 11 Jul 2024
Amazing Things Come From Having Many Good Models Cynthia Rudin Chudi Zhong Lesia Semenova Margo Seltzer Ronald E. Parr Jiachang Liu Srikar Katta Jon Donnelly Harry Chen Zachery Boner 65 25 0 05 Jul 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data Valentin Margraf Marcel Wever Sandra Gilhuber Gabriel Marques Tavares Thomas Seidl Eyke Hüllermeier 58 0 0 25 Jun 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning Jaehyun Nam Kyuyoung Kim Seunghyuk Oh Jihoon Tack Jaehyung Kim Jinwoo Shin LMTD 55 10 0 12 Jun 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection Phai Vu Dinh Nguyen Quang Uy D. Hoang Diep N. Nguyen Son Pham Bao E. Dutkiewicz AAML 73 1 0 22 Mar 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 84 14 0 26 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 64 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 52 8 0 02 Feb 2024
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 42 10 0 17 Nov 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 58 23 0 09 Mar 2023
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 79 59 0 30 Jun 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen Kuan-Yu Liao Yao Wan Danny Chen Jian Wu LMTD 56 50 0 06 Dec 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 161 425 0 11 Dec 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 101 300 0 13 Sep 2019