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2008.09202
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Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
20 August 2020
Justin Engelmann
Stefan Lessmann
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Papers citing
"Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning"
24 / 24 papers shown
Title
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi
Yili Wang
Mengnan Du
Xu Shen
Xin Wang
49
2
0
23 Apr 2025
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
40
0
0
04 Oct 2024
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
Chihcheng Hsieh
Catarina Moreira
Isabel Blanco Nobre
Sandra Costa Sousa
Chun Ouyang
M. Brereton
Joaquim A. Jorge
Jacinto C. Nascimento
48
0
0
11 Jul 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
106
21
0
15 May 2024
Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting
Wolf Rieder
Philip Raschke
Thomas Cory
13
2
0
02 Feb 2024
TabMT: Generating tabular data with masked transformers
Manbir Gulati
Paul F. Roysdon
LMTD
45
33
0
11 Dec 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs
Elaheh Jafarigol
Theodore Trafalis
21
7
0
19 Oct 2023
Efficient Hybrid Oversampling and Intelligent Undersampling for Imbalanced Big Data Classification
Carla Vairetti
José Luis Assadi
Sebastián Maldonado
21
23
0
09 Oct 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba
Carmen Mazijn
Carina E. A. Prunkl
J. Danckaert
Vincent Ginis
SyDa
36
1
0
28 Jul 2023
Poisoning Network Flow Classifiers
Giorgio Severi
Simona Boboila
Alina Oprea
J. Holodnak
K. Kratkiewicz
J. Matterer
AAML
38
4
0
02 Jun 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning
Soma Onishi
Shoya Meguro
LMTD
21
14
0
17 May 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
55
11
0
29 Jan 2023
How to train your draGAN: A task oriented solution to imbalanced classification
Leon O. Guertler
Andri Ashfahani
A. Luu
DiffM
SyDa
27
1
0
18 Nov 2022
Permutation-Invariant Tabular Data Synthesis
Yujin Zhu
Zilong Zhao
Robert Birke
L. Chen
28
2
0
17 Nov 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Raffaele Marchesi
Nicolo Micheletti
Giuseppe Jurman
V. Osmani
AI4TS
34
5
0
25 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
58
239
0
30 Sep 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao
A. Kunar
Robert Birke
L. Chen
27
78
0
01 Apr 2022
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
E. Muller
Xu Zheng
Jer Hayes
28
2
0
14 Jan 2022
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
27
646
0
05 Oct 2021
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
123
198
0
16 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,354
0
12 Dec 2018
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
116
467
0
09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
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