SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Showing 126150 of 822 papers

TitleStatusHype
Using matrix-product states for time-series machine learningCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Copula-based synthetic data augmentation for machine-learning emulatorsCode1
RAGSynth: Synthetic Data for Robust and Faithful RAG Component OptimizationCode1
LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye ImagesCode1
Learning Compact Metrics for MTCode1
ConText-CIR: Learning from Concepts in Text for Composed Image RetrievalCode1
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and AppearanceCode1
Learning from synthetic data generated with GRADECode1
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown InterventionsCode1
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementCode1
CLIPPER: Compression enables long-context synthetic data generationCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
MEDIBENG WHISPER TINY: A FINE-TUNED CODE-SWITCHED BENGALI-ENGLISH TRANSLATOR FOR CLINICAL APPLICATIONSCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic DataCode1
Improved Training of Wasserstein GANsCode1
Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and PrivacyCode1
Noise-Aware Statistical Inference with Differentially Private Synthetic DataCode1
NViSII: A Scriptable Tool for Photorealistic Image GenerationCode1
Natural Language-Based Synthetic Data Generation for Cluster AnalysisCode1
Data-Free Knowledge Distillation via Feature Exchange and Activation Region ConstraintCode1
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss FunctionsCode1
Will we run out of data? Limits of LLM scaling based on human-generated dataCode1
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Benchmark Results

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