GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

29 September 2023

Sascha Marton

Stefan Lüdtke

Christian Bartelt

Heiner Stuckenschmidt

LMTD

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Papers citing "GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data"

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Title
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 218 10 0 31 Oct 2024
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 64 154 0 04 May 2023
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 96 681 0 05 Oct 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 73 50 0 05 Jul 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 94 720 0 22 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 135 1,256 0 06 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 80 139 0 04 Jun 2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning C. Chang R. Caruana Anna Goldenberg AI4CE 68 80 0 03 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 82 324 0 02 Jun 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 94 75 0 20 Jan 2021
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data Jillian M. Clements Di Xu N. Yousefi Dmitry Efimov 92 42 0 30 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 195 447 0 11 Dec 2020
DNF-Net: A Neural Architecture for Tabular Data A. Abutbul G. Elidan L. Katzir Ran El-Yaniv LMTD AI4CE 51 29 0 11 Jun 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation Hussein Hazimeh Natalia Ponomareva P. Mol Zhenyu Tan Rahul Mazumder UQCV AI4CE 286 79 0 18 Feb 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 132 310 0 13 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 145 1,343 0 20 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 499 5,753 0 25 Jul 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 105 781 0 13 Nov 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 120 1,432 0 22 Jun 2018
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 288 8,091 0 13 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 891 16,891 0 16 Feb 2016