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Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 701–750 of 822 papers

TitleStatusHype
FedSyn: Synthetic Data Generation using Federated Learning—0
Conditional Synthetic Data Generation for Personal Thermal Comfort Models—0
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis—0
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey—0
Improving generalization with synthetic training data for deep learning based quality inspection—0
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender SystemsCode0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Logical Reasoning for Task Oriented Dialogue Systems—0
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home—0
Fighting Money Laundering with Statistics and Machine Learning—0
Region-based Layout Analysis of Music Score Images—0
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors—0
Correlation inference attacks against machine learning modelsCode0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study—0
Demystifying Graph Neural Network Explanations—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighborsCode0
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation—0
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
Building Adaptive Acceptability Classifiers for Neural NLG—0
Semi-supervised dry herbage mass estimation using automatic data and synthetic images—0
Interrogating Paradigms in Self-supervised Graph Representation Learning—0
CAGE: Probing Causal Relationships in Deep Generative Models—0
Synthetic Data Generation for Fraud Detection using GANs—0
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data—0
Generation of Synthetic Electronic Health Records Using a Federated GAN—0
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training—0
WeChat Neural Machine Translation Systems for WMT21—0
Data-driven modeling of time-domain induced polarizationCode0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance—0
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture—0
Universum GANs: Improving GANs through contradictions—0
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises—0
Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking—0
Iterative Methods for Private Synthetic Data: Unifying Framework and New MethodsCode0
Tensor feature hallucination for few-shot learningCode0
Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans—0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting—0
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions—0
Transitioning from Real to Synthetic data: Quantifying the bias in model—0
Synthetic Data for Model Selection—0
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data GenerationCode0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified