Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

13 September 2019

Papers citing "Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data"

44 / 44 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
Linear Mode Connectivity in Differentiable Tree Ensembles Ryuichi Kanoh M. Sugiyama 72 1 0 17 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 194 0 0 17 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 6 0 04 Feb 2025
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis Kankana Roy Lars Krämer Sebastian Domaschke Malik Haris Roland Aydin Fabian Isensee Martin Held 48 0 0 13 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
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 35 1 0 17 Oct 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 73 6 0 12 Aug 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 43 2 0 27 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 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
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 59 13 0 26 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
Multimodal Clinical Trial Outcome Prediction with Large Language Models Wenhao Zheng Dongsheng Peng Hongxia Xu Yun-Qing Li Hongtu Zhu Tianfan Fu Huaxiu Yao Huaxiu Yao 50 5 0 09 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 35 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 51 2 0 24 Nov 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang Yuqi Wang Guangyi Liu Ledell Yu Wu Qi Liu LMTD 32 16 0 18 Jul 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 25 2 0 07 Jun 2023
Self-Reinforcement Attention Mechanism For Tabular Learning Kodjo Mawuena Amekoe M. Dilmi Hanene Azzag M. Lebbah Zaineb Chelly Dagdia Gregoire Jaffre 37 0 0 19 May 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran A. Mirzaei Hossein Bagheri M. Sattari 17 8 0 01 Feb 2023
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library Mathieu Guillame-Bert Sebastian Bruch Richard Stotz Jan Pfeifer 13 10 0 06 Dec 2022
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 27 5 0 30 Nov 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu D. Z. Chen Jian Wu 24 35 0 30 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 22 0 23 Nov 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
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 20 8 0 02 Oct 2022
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions Minkyu Kim Hyunjin Choi Jinho Kim FAtt 32 8 0 30 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 22 0 0 08 Sep 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 29 356 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
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
Neural Basis Models for Interpretability Filip Radenovic Abhimanyu Dubey D. Mahajan FAtt 24 46 0 27 May 2022
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel Ryuichi Kanoh M. Sugiyama 23 2 0 25 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 21 22 0 30 Apr 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 156 0 10 Mar 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 646 0 05 Oct 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 24 698 0 22 Jun 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan Ö. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 27 35 0 14 Jun 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data Manu Joseph LMTD 20 37 0 28 Apr 2021
Efficient Encrypted Inference on Ensembles of Decision Trees Kanthi Kiran Sarpatwar Karthik Nandakumar N. Ratha J. Rayfield Karthikeyan Shanmugam Sharath Pankanti Roman Vaculin FedML 22 5 0 05 Mar 2021
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 26 54 0 25 Jun 2020
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 84 129 0 16 Oct 2018