Why do tree-based models still outperform deep learning on tabular data?

18 July 2022

Papers citing "Why do tree-based models still outperform deep learning on tabular data?"

29 / 129 papers shown

Title
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model F. Cordoni M. Missiaggia E. Scifoni C. La Tessa 19 9 0 19 Jan 2023
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights P. Geertsema Helen Lu FAtt 6 2 0 05 Jan 2023
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 14 6 0 13 Dec 2022
High-Order Optimization of Gradient Boosted Decision Trees Jean Pachebat Sergei Ivanov AI4CE 11 0 0 21 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 6 7 0 19 Nov 2022
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data Hengrui Zhang Wei Chen J. Rondinelli Wei-Neng Chen AI4CE 14 17 0 15 Nov 2022
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge Martin Lumiste Andrei-Șerban Ilie 13 3 0 31 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 25 7 0 22 Oct 2022
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage Sami U Hamdan Bradley C. Love G. V. Polier Susanne Weis H. Schwender Simon B. Eickhoff K. Patil 14 8 0 17 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 17 29 0 06 Oct 2022
Sparse tree-based initialization for neural networks P. Lutz Ludovic Arnould Claire Boyer Erwan Scornet 23 2 0 30 Sep 2022
Understanding Interventional TreeSHAP : How and Why it Works Gabriel Laberge Y. Pequignot FAtt 9 6 0 29 Sep 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 14 7 0 21 Sep 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data Guangyi Liu Jie-jin Yang Ledell Yu Wu LMTD 63 32 0 15 Sep 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 10 3 0 30 Aug 2022
Entropy Regularization for Population Estimation Ben Chugg Peter Henderson Jacob Goldin Daniel E. Ho 13 3 0 24 Aug 2022
Boosted Off-Policy Learning Ben London Levi Lu Ted Sandler Thorsten Joachims OffRL 25 4 0 01 Aug 2022
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification Sarwan Ali Bikram Sahoo Alexander Zelikovskiy Pin-Yu Chen Murray Patterson OOD AAML 6 19 0 18 Jul 2022
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features Manu Joseph Harsh Raj 12 9 0 18 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 14 3 0 06 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 17 251 0 05 Jul 2022
TE2Rules: Explaining Tree Ensembles using Rules G. R. Lal Xiaotong Chen Varun Mithal 6 3 0 29 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 22 293 0 19 Jun 2022
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap Carlos Mougan Dan Saattrup Nielsen 9 15 0 27 Jan 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 13 15 0 27 Jan 2022
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 72 19 0 06 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 54 75 0 05 Aug 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 80 290 0 13 Sep 2019