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Deep Neural Networks and Tabular Data: A Survey

Deep Neural Networks and Tabular Data: A Survey

5 October 2021
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
    LMTD
ArXivPDFHTML

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

50 / 301 papers shown
Title
A Survey on Deep Tabular Learning
A Survey on Deep Tabular Learning
Shriyank Somvanshi
Subasish Das
Syed Aaqib Javed
Gian Antariksa
Ahmed Hossain
LMTD
34
7
0
15 Oct 2024
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Valter Hudovernik
Martin Jurkovič
Erik Štrumbelj
46
2
0
04 Oct 2024
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
45
0
0
04 Oct 2024
Developing Guidelines for Functionally-Grounded Evaluation of
  Explainable Artificial Intelligence using Tabular Data
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
M. Velmurugan
Chun Ouyang
Yue Xu
Renuka Sindhgatta
B. Wickramanayake
Catarina Moreira
ELM
LMTD
XAI
29
0
0
30 Sep 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
A. Yarkın Yıldız
Asli Kalayci
LMTD
66
3
0
25 Sep 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific
  Energy-Based Models
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
Andrei Margeloiu
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
38
5
0
24 Sep 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Anita Eisenburger
Daniel Otten
Anselm Hudde
F. Hopfgartner
NoLa
47
1
0
13 Sep 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce
  Applications
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
Ricardo Knauer
Marvin Grimm
Erik Rodner
LMTD
41
2
0
03 Sep 2024
CTG-KrEW: Generating Synthetic Structured Contextually Correlated
  Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word
  Embedding
CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding
Riya Samanta
Bidyut Saha
S. K. Ghosh
Sajal K. Das
19
0
0
03 Sep 2024
Advancing Machine Learning in Industry 4.0: Benchmark Framework for
  Rare-event Prediction in Chemical Processes
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
Vikram Sudarshan
Warren D. Seider
54
1
0
31 Aug 2024
Deep Feature Embedding for Tabular Data
Deep Feature Embedding for Tabular Data
Yuqian Wu
Hengyi Luo
Raymond S. T. Lee
LMTD
28
4
0
30 Aug 2024
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse
  Tabular Datasets
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
Assaf Shmuel
Oren Glickman
Teddy Lazebnik
LMTD
34
4
0
27 Aug 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques
  and Evolution
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution
Yucheng Ruan
Xiang Lan
Jingying Ma
Yizhi Dong
Kai He
Mengling Feng
LMTD
65
3
0
20 Aug 2024
HySem: A context length optimized LLM pipeline for unstructured tabular
  extraction
HySem: A context length optimized LLM pipeline for unstructured tabular extraction
Narayanan PP
A. P. N. Iyer
44
0
0
18 Aug 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep
  Learning in Real-world Use-cases
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
Thibault Simonetto
Salah Ghamizi
Maxime Cordy
AAML
OOD
ELM
45
0
0
14 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning
Mambular: A Sequential Model for Tabular Deep Learning
Anton Thielmann
Manish Kumar
Christoph Weisser
Arik Reuter
Benjamin Säfken
Soheila Samiee
Mamba
LMTD
76
6
0
12 Aug 2024
GLEAMS: Bridging the Gap Between Local and Global Explanations
GLEAMS: Bridging the Gap Between Local and Global Explanations
Giorgio Visani
Vincenzo Stanzione
Damien Garreau
FAtt
21
0
0
09 Aug 2024
Unveiling the Power of Sparse Neural Networks for Feature Selection
Unveiling the Power of Sparse Neural Networks for Feature Selection
Zahra Atashgahi
Tennison Liu
Mykola Pechenizkiy
Raymond N. J. Veldhuis
D. Mocanu
M. Schaar
31
2
0
08 Aug 2024
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy
  Protection
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
Yuxin Wang
Duanyu Feng
Yongfu Dai
Zhengyu Chen
Jimin Huang
Sophia Ananiadou
Qianqian Xie
Hao Wang
32
5
0
06 Aug 2024
Cross-Modality Clustering-based Self-Labeling for Multimodal Data
  Classification
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification
P. Zyblewski
Leandro L. Minku
19
0
0
05 Aug 2024
Tabular Data Augmentation for Machine Learning: Progress and Prospects
  of Embracing Generative AI
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
Lingxi Cui
Huan Li
Ke Chen
Alexander Lerch
Gang Chen
LMTD
78
14
0
31 Jul 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of
  Class-Balanced Loss Functions
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
36
1
0
19 Jul 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term
  Substance Use Prediction
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
Nguyen Thach
P. Habecker
Bergen Johnston
Lillianna Cervantes
Anika R. Eisenbraun
Alex Mason
Kimberly Tyler
Bilal Khan
Hau Chan
23
0
0
17 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data:
  An Empirical Analysis
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
Zhipeng He
Chun Ouyang
Laith Alzubaidi
Alistair Barros
Catarina Moreira
AAML
36
0
0
16 Jul 2024
Intelligent Cross-Organizational Process Mining: A Survey and New
  Perspectives
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
Yiyuan Yang
Zheshun Wu
Yong Chu
Zhenghua Chen
Zenglin Xu
Qingsong Wen
35
0
0
15 Jul 2024
Employing Sentence Space Embedding for Classification of Data Stream
  from Fake News Domain
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
P. Zyblewski
Jakub Klikowski
Weronika Borek-Marciniec
Pawel Ksieniewicz
36
0
0
15 Jul 2024
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree
  Model Processing on CAMs
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs
Tergel Molom-Ochir
Brady Taylor
Hai Li
Yiran Chen
21
0
0
12 Jul 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with
  Incomplete Data
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du
Shaoming Zheng
Yinsong Wang
Wenjia Bai
D. O’Regan
Chen Qin
LMTD
36
4
0
10 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox
TALENT: A Tabular Analytics and Learning Toolbox
Si-Yang Liu
Hao-Run Cai
Qi-Le Zhou
Han-Jia Ye
LMTD
33
4
0
04 Jul 2024
Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
57
1
0
03 Jul 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for
  Tabular Data
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
LMTD
42
4
0
02 Jul 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using
  Monte Carlo Methods
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Andrej Tschalzev
Paul Nitschke
Lukas Kirchdorfer
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
34
0
0
01 Jul 2024
Statements: Universal Information Extraction from Tables with Large
  Language Models for ESG KPIs
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
Lokesh Mishra
Sohayl Dhibi
Yusik Kim
Cesar Berrospi Ramis
Shubham Gupta
Michele Dolfi
Peter W. J. Staar
53
2
0
27 Jun 2024
LaTable: Towards Large Tabular Models
LaTable: Towards Large Tabular Models
B. V. Breugel
Jonathan Crabbé
Rob Davis
Mihaela van der Schaar
LMTD
41
4
0
25 Jun 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Yaojie Hu
Ilias Fountalis
Jin Tian
N. Vasiloglou
LMTD
36
3
0
24 Jun 2024
SimClone: Detecting Tabular Data Clones using Value Similarity
SimClone: Detecting Tabular Data Clones using Value Similarity
Xu Yang
Gopi Krishnan Rajbahadur
Dayi Lin
Shaowei Wang
Zhen Ming
Jiang
27
1
0
24 Jun 2024
Text Serialization and Their Relationship with the Conventional
  Paradigms of Tabular Machine Learning
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
Kyoka Ono
Simon A. Lee
LMTD
24
7
0
19 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
46
0
0
19 Jun 2024
Large Scale Transfer Learning for Tabular Data via Language Modeling
Large Scale Transfer Learning for Tabular Data via Language Modeling
Josh Gardner
Juan C. Perdomo
Ludwig Schmidt
LMTD
36
13
0
17 Jun 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
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
38
1
0
17 Jun 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal
  Benchmark Framework
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
Ruibo Tu
Zineb Senane
Lele Cao
Cheng Zhang
Hedvig Kjellström
G. Henter
CML
51
4
0
12 Jun 2024
Enhancing Tabular Data Optimization with a Flexible Graph-based
  Reinforced Exploration Strategy
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy
Xiaohan Huang
Dongjie Wang
Zhiyuan Ning
Ziyue Qiao
Qingqing Long
Haowei Zhu
Min Wu
Yuanchun Zhou
Meng Xiao
OffRL
27
5
0
11 Jun 2024
Tokenize features, enhancing tables: the FT-TABPFN model for tabular
  classification
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification
Quangao Liu
Wei Yang
Chen Liang
Longlong Pang
Zhuozhang Zou
28
1
0
11 Jun 2024
Retrieval & Fine-Tuning for In-Context Tabular Models
Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas
Junwei Ma
Rasa Hosseinzadeh
Keyvan Golestan
Guangwei Yu
M. Volkovs
Anthony L. Caterini
41
11
0
07 Jun 2024
CTSyn: A Foundational Model for Cross Tabular Data Generation
CTSyn: A Foundational Model for Cross Tabular Data Generation
Xiaofeng Lin
Chenheng Xu
Matthew Yang
Guang Cheng
43
3
0
07 Jun 2024
Fuzzy Convolution Neural Networks for Tabular Data Classification
Fuzzy Convolution Neural Networks for Tabular Data Classification
Arun D. Kulkarni
26
1
0
04 Jun 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
36
0
0
03 Jun 2024
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using
  Transformers with In-context Subsetting
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
Andrei Margeloiu
A. Bazaga
Nikola Simidjievski
Pietro Lió
M. Jamnik
LMTD
46
5
0
03 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language
  Models
Differentially Private Tabular Data Synthesis using Large Language Models
Toan V. Tran
Li Xiong
SyDa
38
6
0
03 Jun 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep
  Neural Networks for Tabular Data
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto
Salah Ghamizi
Maxime Cordy
AAML
OOD
41
2
0
02 Jun 2024
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