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
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities Maria F. Davila Sven Groen Fabian Panse Wolfram Wingerath LMTD 34 1 0 31 May 2024
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis SeungHwan An Gyeongdong Woo Jaesung Lim ChangHyun Kim Sungchul Hong Jong-June Jeon 65 1 0 31 May 2024
Mixture of In-Context Prompters for Tabular PFNs Derek Xu Olcay Cirit Reza Asadi Yizhou Sun Wei Wang 33 9 0 25 May 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 45 2 0 24 May 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 109 22 0 15 May 2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee Ye Seul Sim Hye-Seung Cho Moonjung Eo Suhee Yoon Sanghyu Yoon Woohyung Lim SSL 35 5 0 13 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks William Lindskog Christian Prehofer FedML 57 1 0 03 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 23 0 0 03 May 2024
Why Tabular Foundation Models Should Be a Research Priority B. V. Breugel M. Schaar LMTD VLM AI4CE 39 33 0 02 May 2024
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks Vanesa Gómez-Martínez F. J. Lara-Abelenda Pablo Peiro-Corbacho David Chushig-Muzo C. Granja C. Soguero-Ruíz LMTD 27 2 0 26 Apr 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 61 2 0 25 Apr 2024
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification P. Zyblewski 21 1 0 24 Apr 2024
Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality Ana Letícia Garcez Vicente Roseval Malaquias Junior R. Romero 16 2 0 23 Apr 2024
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data Dayananda Herurkar Sebastián M. Palacio Ahmed Anwar J¨orn Hees Andreas Dengel FedML 30 3 0 23 Apr 2024
Generalized Regression with Conditional GANs Deddy Jobson Eddy Hudson AI4CE GAN OOD 24 0 0 21 Apr 2024
An improved tabular data generator with VAE-GMM integration Patricia A. Apellániz J. Parras Santiago Zazo 49 6 0 12 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
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model Chenwei Xu Yu-Chao Huang Jerry Yao-Chieh Hu Weijian Li Ammar Gilani H. Goan Han Liu 52 19 0 04 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 32 5 0 04 Apr 2024
Supervised Multiple Kernel Learning approaches for multi-omics data integration Mitja Briscik Gabriele Tazza M. Dillies László Vidács Sébastien Dejean GP 23 2 0 27 Mar 2024
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets Samuel Stocksieker Denys Pommeret Arthur Charpentier SSL 32 1 0 23 Mar 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 42 3 0 20 Mar 2024
Structured Evaluation of Synthetic Tabular Data Scott Cheng-Hsin Yang Baxter S. Eaves Michael Schmidt Ken Swanson Patrick Shafto 31 4 0 15 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Javier Liébana Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 43 5 0 11 Mar 2024
DP-TabICL: In-Context Learning with Differentially Private Tabular Data Alycia N. Carey Karuna Bhaila Kennedy Edemacu Xintao Wu 35 7 0 08 Mar 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing Kiran Madhusudhanan Gunnar Behrens Maximilian Stubbemann Lars Schmidt-Thieme 28 0 0 06 Mar 2024
Making Pre-trained Language Models Great on Tabular Prediction Jiahuan Yan Bo Zheng Hongxia Xu Yiheng Zhu Danny Chen Jimeng Sun Jian Wu Jintai Chen LMTD 36 37 0 04 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 47 1 0 28 Feb 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
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 42 1 0 26 Feb 2024
Boosting gets full Attention for Relational Learning Mathieu Guillame-Bert Richard Nock LMTD 33 0 0 22 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
Estimating the age-conditioned average treatment effects curves: An application for assessing load-management strategies in the NBA S. Nakamura-Sakai L. Forastiere Brian Macdonald CML 16 0 0 17 Feb 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Ben Feuer R. Schirrmeister Valeriia Cherepanova Chinmay Hegde Frank Hutter Micah Goldblum Niv Cohen Colin White 45 14 0 17 Feb 2024
In-Context Data Distillation with TabPFN Junwei Ma Valentin Thomas Guangwei Yu Anthony L. Caterini 31 7 0 10 Feb 2024
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF) Ángel Delgado-Panadero J. Benítez-Andrades María Teresa García-Ordás FedML AI4CE 27 2 0 04 Feb 2024
User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT Anna Bodonhelyi Efe Bozkir Shuo Yang Enkelejda Kasneci Gjergji Kasneci ELM AI4MH 36 16 0 03 Feb 2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction Sahab Zandi Kamesh Korangi María Óskarsdóttir Christophe Mues Cristián Bravo 19 5 0 01 Feb 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 28 4 0 16 Jan 2024
PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes Aissatou Diallo Antonis Bikakis Luke Dickens Anthony Hunter Rob Miller LRM 24 2 0 12 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking S. B. Rabbani Ivan V. Medri Manar D. Samad 15 8 0 08 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 56 37 0 04 Jan 2024
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning Robin Zbinden Nina Van Tiel B. Kellenberger L. Hughes D. Tuia 22 11 0 03 Jan 2024
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education Arne Bewersdorff Christian Hartmann Marie Hornberger Kathrin Seßler Maria Bannert Enkelejda Kasneci Gjergji Kasneci Xiaoming Zhai Claudia Nerdel 29 29 0 01 Jan 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 18 5 0 18 Dec 2023
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives R. T. Witter Lucas Rosenblatt HAI AI4CE 28 0 0 12 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 32 0 10 Dec 2023