SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 822 papers

TitleStatusHype
CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification ModelsCode0
Improving text-conditioned latent diffusion for cancer pathologyCode0
Iterative Methods for Private Synthetic Data: Unifying Framework and New MethodsCode0
Synthetic Data Generation for Anomaly Detection on Table GrapesCode0
Conditioning on Time is All You Need for Synthetic Survival Data GenerationCode0
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place RecognitionCode0
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data GenerationCode0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic DataCode0
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RECode0
A text-to-tabular approach to generate synthetic patient data using LLMsCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
Comparative study of models trained on synthetic data for Ukrainian grammatical error correctionCode0
Hide-and-Seek Privacy ChallengeCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data ChallengeCode0
Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groupsCode0
A Systematic Evaluation of Generative Models on Tabular Transportation DataCode0
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation ExtractionCode0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data SourcesCode0
A Little Human Data Goes A Long WayCode0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Flexible Generation of Preference Data for Recommendation AnalysisCode0
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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