Deep Neural Networks and Tabular Data: A Survey

5 October 2021

Gjergji Kasneci

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

50 / 69 papers shown

Title
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction Saram Abbas Naeem Soomro R. Shafik Rakesh Heer Kabita Adhikari 51 0 0 30 Apr 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond Yundi Zhang Paul Hager Che Liu Suprosanna Shit C. L. P. Chen Daniel Rueckert Jiazhen Pan 38 0 0 17 Apr 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 29 0 0 16 Apr 2025
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning Ali Eslamian Qiang Cheng 41 0 0 12 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 63 0 0 24 Feb 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 71 1 0 21 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 58 0 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 55 0 0 23 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 80 3 0 20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 100 0 0 20 Jan 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 44 1 0 12 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 22 0 0 03 Jan 2025
NRGBoost: Energy-Based Generative Boosted Trees João Bravo 33 0 0 04 Oct 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data A. Yarkın Yıldız Asli Kalayci LMTD 51 3 0 25 Sep 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 34 1 0 13 Sep 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 68 6 0 12 Aug 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Yaojie Hu Ilias Fountalis Jin Tian N. Vasiloglou LMTD 27 3 0 24 Jun 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 36 1 0 17 Jun 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 92 19 0 15 May 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 42 2 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 34 8 0 12 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 27 5 0 04 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 34 3 0 20 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 48 0 0 13 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 37 1 0 28 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 29 15 0 22 Feb 2024
Towards Better Serialization of Tabular Data for Few-shot Classification with Large Language Models Sukriti Jaitly Tanay Shah Ashish Shugani Razik Singh Grewal LMTD 10 5 0 18 Dec 2023
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 19 10 0 17 Nov 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications Yanchen Liu Srishti Gautam Jiaqi Ma Himabindu Lakkaraju LMTD 24 10 0 23 Oct 2023
Target Variable Engineering Jessica Clark 22 0 0 13 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 15 0 0 10 Oct 2023
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck Benjamin L. Edelman Surbhi Goel Sham Kakade Eran Malach Cyril Zhang 43 7 0 07 Sep 2023
A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features Shan Cao Qunsheng Ruan Qingfeng Wu Weiqiang Lin LM&MA 31 0 0 06 Sep 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 19 1 0 28 Jul 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing Nikolai Merkel R. Mayer Tawkir Ahmed Fakir Hans-Arno Jacobsen 24 5 0 11 Apr 2023
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences Sarwan Ali Usama Sardar Murray Patterson Imdadullah Khan 13 1 0 01 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 22 0 0 27 Mar 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 19 47 0 24 Mar 2023
Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning Jong-Ik Park Sihoon Seong JunKyu Lee CheolKee Hong 22 1 0 16 Mar 2023
Gradient-Boosted Based Structured and Unstructured Learning Andrea Trevino Gavito Diego Klabjan J. Utke 22 2 0 28 Feb 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 17 11 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 39 11 0 29 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification Y. Song S. K. Shyn Kwang-su Kim VLM 19 5 0 16 Jan 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 11 22 0 23 Nov 2022
Introducing Hermes: Executing Clinical Quality Language (CQL) at over 66 Million Resources per Second (inexpensively) Angelo Kastroulis Paolo Bonfini A. Litsas ELM VLM 11 1 0 03 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
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 27 208 0 19 Oct 2022
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography Tengfei Xue Fan Zhang L. Zekelman Chaoyi Zhang Yuqian Chen ... W. Wells Yogesh Rathi N. Makris Weidong Cai L. O’Donnell 20 7 0 13 Oct 2022