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Deep Neural Networks and Tabular Data: A Survey

5 October 2021

Gjergji Kasneci

Papers citing "Deep Neural Networks and Tabular Data: A Survey"

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Title
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations Alan Arazi Eilam Shapira Roi Reichart LMTD 190 0 0 23 May 2025
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond Yundi Zhang Paul Hager Che Liu Suprosanna Shit Chong Chen Daniel Rueckert Jiazhen Pan 116 1 0 17 Apr 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 61 0 0 16 Apr 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 166 2 0 24 Feb 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 193 4 0 21 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 175 0 0 28 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 212 1 0 20 Jan 2025
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff Freek Holvoet Katrien Antonio Roel Henckaerts 155 3 0 20 Jan 2025
Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery Cedric Donié M. Reumann Tony Hartung Benedikt J. Braun Tina Histing Satoshi Endo Sandra Hirche 66 0 0 03 Jan 2025
NRGBoost: Energy-Based Generative Boosted Trees João Bravo 123 0 0 04 Oct 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data A. Yarkın Yıldız Asli Kalayci LMTD 98 5 0 25 Sep 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 122 9 0 12 Aug 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 160 3 0 11 Jul 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 81 1 0 17 Jun 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 137 3 0 25 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 105 10 0 12 Apr 2024
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling Daniel Duenias Brennan Nichyporuk Tal Arbel Tammy Riklin-Raviv 95 6 0 20 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 213 1 0 13 Mar 2024
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 106 252 0 12 Oct 2022
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 72 28 0 13 Jul 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 100 96 0 07 Apr 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 64 38 0 13 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 107 178 0 10 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 85 98 0 01 Feb 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 85 64 0 21 Dec 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 66 135 0 08 Oct 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 119 19 0 06 Aug 2021
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms Martin Pawelczyk Sascha Bielawski J. V. D. Heuvel Tobias Richter Gjergji Kasneci CML 83 105 0 02 Aug 2021
Lockout: Sparse Regularization of Neural Networks Gilmer Valdes W. Arbelo Y. Interian J. Friedman 55 2 0 15 Jul 2021
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 55 7 0 14 Jul 2021
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform Sebastian Polsterl Tom Nuno Wolf Christian Wachinger MedIm 61 45 0 13 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 94 51 0 05 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 74 177 0 29 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 105 67 0 23 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 126 772 0 22 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 55 200 0 21 Jun 2021
Muddling Label Regularization: Deep Learning for Tabular Datasets Karim Lounici Katia Méziani Benjamin Riu 69 6 0 08 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 170 1,288 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 108 141 0 04 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 90 333 0 02 Jun 2021
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data Daniel de Barros Soares Francoise Andrieux Bastien Hell J. Lenhardt J. Badosa S. Gavoille Stéphane Gaïffas Emmanuel Bacry 56 6 0 28 May 2021
Synthesising Multi-Modal Minority Samples for Tabular Data Sajad Darabi Yotam Elor 54 12 0 17 May 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data Manu Joseph LMTD 67 38 0 28 Apr 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks Bingyang Wen Luis Oliveros Colon K. P. Subbalakshmi R. Chandramouli CML GAN 69 20 0 21 Apr 2021
Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show Sabri Boughorbel Fethi Jarray A. Kadri OOD 60 6 0 06 Mar 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 62 110 0 26 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 200 201 0 16 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 93 53 0 21 Jan 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 113 78 0 20 Jan 2021