Deep Neural Networks and Tabular Data: A Survey

5 October 2021

Gjergji Kasneci

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

50 / 301 papers shown

Title
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation Xuan Zhao Simone Fabbrizzi Paula Reyero Lobo Siamak Ghodsi Klaus Broelemann Steffen Staab Gjergji Kasneci 39 1 0 21 Nov 2023
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 34 10 0 17 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 49 0 0 15 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 42 1 0 13 Nov 2023
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Antoine Desjardins Maxime Cordy Yves Le Traon OOD AAML 26 3 0 08 Nov 2023
An Initialization Schema for Neuronal Networks on Tabular Data Wolfgang Fuhl 18 0 0 07 Nov 2023
TRIAGE: Characterizing and auditing training data for improved regression Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 13 5 0 29 Oct 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 39 33 0 28 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 44 19 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 26 19 0 25 Oct 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 11 0 23 Oct 2023
Target Variable Engineering Jessica Clark 32 0 0 13 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance Jiaqi Luo Yuedong Quan Shixin Xu 37 2 0 08 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 27 10 0 04 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 33 2 0 29 Sep 2023
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 18 5 0 29 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 33 30 0 18 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network Qisen Cheng Shuhui Qu Janghwan Lee 22 3 0 15 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck Benjamin L. Edelman Surbhi Goel Sham Kakade Eran Malach Cyril Zhang 48 8 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 39 0 0 06 Sep 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 27 1 0 01 Sep 2023
Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction Weichen Huang 24 12 0 29 Aug 2023
Generating tabular datasets under differential privacy G. Truda DiffM 27 5 0 28 Aug 2023
Endogenous Macrodynamics in Algorithmic Recourse Patrick Altmeyer Giovan Angela Aleksander Buszydlik Karol Dobiczek A. V. Deursen Cynthia C. S. Liem 29 7 0 16 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 35 2 0 07 Aug 2023
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory Samuel Stocksieker Denys Pommeret Arthur Charpentier 15 1 0 05 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 21 1 0 31 Jul 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 39 1 0 28 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 17 8 0 23 Jul 2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models Yuwei Yin Yazheng Yang Jian Yang Qi Liu 18 12 0 22 Jul 2023
eXplainable Artificial Intelligence (XAI) in aging clock models Alena I. Kalyakulina I. Yusipov Alexey Moskalev Claudio Franceschi Mikhail Ivanchenko 29 19 0 21 Jul 2023
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions Rebecca Potts R. Hackney Georgios Leontidis 24 3 0 17 Jul 2023
CuTS: Customizable Tabular Synthetic Data Generation Mark Vero Mislav Balunović Martin Vechev 26 3 0 07 Jul 2023
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing S. Tayebati K. Cho AI4CE 20 3 0 04 Jul 2023
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity Yuanrong Wang Antonio Briola T. Aste 36 5 0 27 Jun 2023
A Self-Encoder for Learning Nearest Neighbors Armand Boschin Thomas Bonald Marc Jeanmougin SSL 15 0 0 25 Jun 2023
Language models are weak learners Hariharan Manikandan Yiding Jiang J Zico Kolter 38 15 0 25 Jun 2023
An Interactive Interface for Novel Class Discovery in Tabular Data Colin Troisemaine Joachim Flocon-Cholet Stéphane Gosselin Alexandre Reiffers-Masson Sandrine Vaton V. Lemaire 20 1 0 22 Jun 2023
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort H. Musto D. Stamate Ida M. Pu Daniel Stahl OOD 11 8 0 17 Jun 2023
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks S. B. Rabbani Manar D. Samad CML GNN 22 2 0 11 Jun 2023
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models Aleksa Bisercic Mladen Nikolic M. Schaar Boris Delibasic Pietro Lió Andrija Petrović 22 16 0 08 Jun 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates Erik Fubel Niclas Michael Groll Patrick Gundlach Qiwei Han Maximilian Kaiser 19 5 0 31 May 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 39 0 0 29 May 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data Kuan-Yu Chen Ping-Han Chiang Hsin-Rung Chou Tingwei Chen Tien-Hao Chang VPVLM LMTD VLM 28 23 0 29 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 21 5 0 25 May 2023
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data Hanqi Su Binyang Song Faez Ahmed 28 6 0 24 May 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 64 28 0 16 May 2023