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Conditional Wasserstein GAN-based Oversampling of Tabular Data for
  Imbalanced Learning

Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

20 August 2020
Justin Engelmann
Stefan Lessmann
ArXivPDFHTML

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
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
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
40
0
0
04 Oct 2024
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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