Revisiting Deep Learning Models for Tabular Data

22 June 2021

Papers citing "Revisiting Deep Learning Models for Tabular Data"

50 / 351 papers shown

Title
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling M. Z. A. Mayaki M. Riveill 27 1 0 28 May 2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction Reza Shirkavand Liang Zhan Heng-Chiao Huang Li Shen Paul M. Thompson 11 3 0 25 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 18 5 0 25 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 18 5 0 24 May 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
Self-Reinforcement Attention Mechanism For Tabular Learning Kodjo Mawuena Amekoe M. Dilmi Hanene Azzag M. Lebbah Zaineb Chelly Dagdia Gregoire Jaffre 40 0 0 19 May 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance Zheyu Zhang T. Zhang Jun Yu Li 18 5 0 18 May 2023
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management John S. Schreck William Petzke P. Jiménez Thomas Brummet J. Knievel E. James B. Kosović D. Gagne 18 8 0 17 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 26 14 0 17 May 2023
Generative Table Pre-training Empowers Models for Tabular Prediction T. Zhang Shaowen Wang Shuicheng Yan Jian Li Qian Liu LMTD 27 38 0 16 May 2023
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients Munib Mesinovic Peter Watkinson Ting Zhu 25 3 0 10 May 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 31 65 0 10 May 2023
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 34 132 0 04 May 2023
TABLET: Learning From Instructions For Tabular Data Dylan Slack Sameer Singh LMTD ALM RALM 26 17 0 25 Apr 2023
DuETT: Dual Event Time Transformer for Electronic Health Records Alex Labach Aslesha Pokhrel Xiao Shi Huang S. Zuberi S. Yi M. Volkovs T. Poutanen Rahul G. Krishnan AI4TS MedIm 20 3 0 25 Apr 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 22 54 0 25 Apr 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing Nikolai Merkel R. Mayer Tawkir Ahmed Fakir Hans-Arno Jacobsen 29 5 0 11 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 24 1 0 06 Apr 2023
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data Y. Ruan Xiang Lan Daniel J. Tan H. Abdullah Mengling Feng LMTD MedIm 48 1 0 30 Mar 2023
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns Soma Onishi Kenta Oono Kohei Hayashi LMTD 29 13 0 28 Mar 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 38 4 0 27 Mar 2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Avi Schwarzschild Max Cembalest K. Rao Keegan E. Hines John P Dickerson FAtt 15 5 0 23 Mar 2023
Efficient Multi-stage Inference on Tabular Data Daniel S Johnson Igor L. Markov 30 0 0 21 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 28 14 0 11 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 50 22 0 09 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification Ismail B. Mustapha S. Hasan Hatem S Y Nabbus M. Montaser S. Olatunji Siti Maryam Shamsuddin OOD 22 1 0 04 Mar 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data? Aaditya Naik Yinjun Wu Mayur Naik Eric Wong 8 4 0 02 Mar 2023
Gradient-Boosted Based Structured and Unstructured Learning Andrea Trevino Gavito Diego Klabjan J. Utke 27 2 0 28 Feb 2023
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data Andrea Trevino Gavito Diego Klabjan J. Utke LMTD 23 3 0 28 Feb 2023
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data Miwook Kim Juseong Kim Giltae Song 19 2 0 27 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 22 1 0 23 Feb 2023
Structural Neural Additive Models: Enhanced Interpretable Machine Learning Mattias Luber Anton Thielmann Benjamin Säfken 31 7 0 18 Feb 2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data Simone Luetto Fabrizio Garuti E. Sangineto L. Forni Rita Cucchiara LMTD AI4TS 87 10 0 13 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 26 61 0 04 Feb 2023
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting Seunghyun Lee D. Lee Sujeong Im N. Kim Sung-Min Park 22 11 0 01 Feb 2023
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 32 12 0 27 Jan 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares Tennison Liu Jonathan Crabbé M. Schaar FedML 53 15 0 26 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Danny Chen Jian Wu Jimeng Sun LMTD 40 22 0 07 Jan 2023
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning S. B. Rabbani Ivan V. Medri Manar D. Samad 23 4 0 02 Jan 2023
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data Sakib Abrar A. Sekmen Manar D. Samad 33 7 0 28 Dec 2022
Toward Efficient Automated Feature Engineering Kafeng Wang Pengyang Wang Chengzhong Xu 27 2 0 26 Dec 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Danny Chen Jian Wu 27 35 0 30 Nov 2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data Andrei Margeloiu Nikola Simidjievski Pietro Lio' M. Jamnik 22 12 0 28 Nov 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems L. Iosipoi Anton Vakhrushev 25 7 0 23 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 26 22 0 23 Nov 2022
OpenFE: Automated Feature Generation with Expert-level Performance T. Zhang Zheyu Zhang Zhiyuan Fan Haoyan Luo Feng Liu Qian Liu Wei Cao Jian Li VLM 16 22 0 22 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 16 7 0 19 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio' M. Jamnik DD AI4CE 19 5 0 11 Nov 2022
Diffusion models for missing value imputation in tabular data Shuhan Zheng Nontawat Charoenphakdee VLM DiffM 32 67 0 31 Oct 2022
TabMixer: Excavating Label Distribution Learning with Small-scale Features Weiyi Cong Zhuoran Zheng Xiuyi Jia 17 0 0 25 Oct 2022