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1907.00503
Cited By
Modeling Tabular data using Conditional GAN
1 July 2019
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CML
MU
SyDa
GAN
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Papers citing
"Modeling Tabular data using Conditional GAN"
50 / 429 papers shown
Title
FairGen: Fair Synthetic Data Generation
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Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Han Wu
Zilong Zhao
L. Chen
Aad van Moorsel
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17
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Language Models are Realistic Tabular Data Generators
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
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FCT-GAN: Enhancing Table Synthesis via Fourier Transform
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Robert Birke
L. Chen
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12 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
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28
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11 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
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Jimeng Sun
19
29
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11 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment
Giuseppe Castiglione
Ga Wu
C. Srinivasa
Simon J. D. Prince
13
3
0
10 Oct 2022
STaSy: Score-based Tabular data Synthesis
Jayoung Kim
C. Lee
Noseong Park
DiffM
56
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08 Oct 2022
Conditional Feature Importance for Mixed Data
Kristin Blesch
David S. Watson
Marvin N. Wright
50
7
0
06 Oct 2022
ciDATGAN: Conditional Inputs for Tabular GANs
Gael Lederrey
T. Hillel
M. Bierlaire
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11
2
0
05 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation
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P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
30
4
0
04 Oct 2022
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Matthieu Dorier
Romain Egele
Prasanna Balaprakash
Jaehoon Koo
Sandeep Madireddy
Srinivasan Ramesh
A. Malony
R. Ross
14
9
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03 Oct 2022
iCTGAN--An Attack Mitigation Technique for Random-vector Attack on Accelerometer-based Gait Authentication Systems
J. Mo
Rajesh Kumar
13
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02 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
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Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
58
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30 Sep 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
26
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Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
Xiaodan Xing
Huanjun Wu
Lichao Wang
Iain Stenson
M. Yong
Javier Del Ser
Simon Walsh
Guang Yang
21
7
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17 Sep 2022
Artificial Intelligence for In Silico Clinical Trials: A Review
Zifeng Wang
Chufan Gao
Lucas Glass
Jimeng Sun
24
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PTab: Using the Pre-trained Language Model for Modeling Tabular Data
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Jie-jin Yang
Ledell Yu Wu
LMTD
65
34
0
15 Sep 2022
Concept-Based Explanations for Tabular Data
Varsha Pendyala
Jihye Choi
FaML
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FAtt
26
2
0
13 Sep 2022
Machine Learning Models Evaluation and Feature Importance Analysis on NPL Dataset
Rufael Fekadu
Anteneh Getachew
Yishak Tadele
Nuredin Ali Abdelkadir
Israel Goytom
19
3
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28 Aug 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Lucas Rosenblatt
Bernease Herman
Anastasia Holovenko
Wonkwon Lee
Joshua R. Loftus
Elizabeth McKinnie
Taras Rumezhak
Andrii Stadnik
Bill Howe
Julia Stoyanovich
32
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26 Aug 2022
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
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Artem Yushchenko
Benedikt Stratmann
Volker Steinhage
22
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Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning
Daochen Zha
Kwei-Herng Lai
Qiaoyu Tan
Sirui Ding
Na Zou
Xia Hu
AI4TS
11
18
0
26 Aug 2022
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Jihyeon Hyeong
Jayoung Kim
Noseong Park
S. Jajodia
MIACV
19
13
0
17 Aug 2022
Customs Import Declaration Datasets
Chae-Seong Jeong
Sundong Kim
Jaewoo Park
Yeonsoo Choi
21
3
0
04 Aug 2022
Sequential Models in the Synthetic Data Vault
K. Zhang
Neha Patki
K. Veeramachaneni
SyDa
15
18
0
28 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
28
0
19 Jul 2022
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
M. Lahoti
Pratik Narang
15
28
0
12 Jul 2022
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata
C. Little
Mark Elliot
Richard Allmendinger
11
9
0
02 Jul 2022
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Chang Sun
J. V. Soest
Michel Dumontier
SyDa
23
2
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28 Jun 2022
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets
Kristian Schultz
Saptarshi Bej
Waldemar Hahn
M. Wolfien
P. Srivastava
Olaf Wolkenhauer
DiffM
4
3
0
20 Jun 2022
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh
Heeji Won
Junhyuk So
Taero Kim
Yewon Kim
Hosik Choi
Kyungwoo Song
FaML
CoGe
CML
DRL
18
40
0
17 Jun 2022
SOS: Score-based Oversampling for Tabular Data
Jayoung Kim
Chae-Eun Lee
Yehjin Shin
Sewon Park
Minjung Kim
Noseong Park
Jihoon Cho
DiffM
17
34
0
17 Jun 2022
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design
Lyle Regenwetter
Faez Ahmed
AI4CE
22
2
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Private Synthetic Data with Hierarchical Structure
Terrance Liu
Zhiwei Steven Wu
SyDa
17
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Releasing survey microdata with exact cluster locations and additional privacy safeguards
Till Koebe
Alejandra Arias-Salazar
16
2
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RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
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Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
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14
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Time-series Transformer Generative Adversarial Networks
Padmanaba Srinivasan
William J. Knottenbelt
AI4TS
21
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A Dynamic Weighted Tabular Method for Convolutional Neural Networks
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Md. Saddam Hossain Mukta
Ahmed Rafi Hasan
LMTD
19
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Adversarial random forests for density estimation and generative modeling
David S. Watson
Kristin Blesch
Jan Kapar
Marvin N. Wright
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65
19
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Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock
Jens Wettlaufer
Daniel Demmler
Hannes Federrath
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21
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Evaluating the Fairness Impact of Differentially Private Synthetic Data
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Kristen Grabarz
Lily Ke
Scarlett Gong
Christy Tanner
Joshua Allen
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15
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Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
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Carsten Maple
Samuel N. Cohen
Adrian Weller
40
109
0
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Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
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Faez Ahmed
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On Disentangled and Locally Fair Representations
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Sagie Benaim
Lior Wolf
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6
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Multi-Label Clinical Time-Series Generation via Conditional GAN
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Chandan K. Reddy
Ping Wang
Dong Nie
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32
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Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
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CTAB-GAN+: Enhancing Tabular Data Synthesis
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