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Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios

Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios

3 July 2024
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
ArXivPDFHTML

Papers citing "Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios"

6 / 6 papers shown
Title
Synthetic Tabular Data Validation: A Divergence-Based Approach
Synthetic Tabular Data Validation: A Divergence-Based Approach
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
16
3
0
13 May 2024
An improved tabular data generator with VAE-GMM integration
An improved tabular data generator with VAE-GMM integration
Patricia A. Apellániz
J. Parras
Santiago Zazo
36
6
0
12 Apr 2024
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
118
196
0
16 Feb 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
714
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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