SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 751–775 of 822 papers

TitleStatusHype
The Volctrans Machine Translation System for WMT20—0
Scenic: A Language for Scenario Specification and Data GenerationCode1
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
TUTOR: Training Neural Networks Using Decision Rules as Model Priors—0
A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS)—0
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging—0
WeChat Neural Machine Translation Systems for WMT20—0
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated SourcesCode1
Accurate and Intuitive Contextual Explanations using Linear Model Trees—0
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs—0
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic DataCode1
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation—0
AutoSimulate: (Quickly) Learning Synthetic Data Generation—0
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference HidingCode1
Hide-and-Seek Privacy ChallengeCode0
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction—0
MTSS-GAN: Multivariate Time Series Simulation Generative Adversarial NetworksCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
Exploring Transformer Text Generation for Medical Dataset AugmentationCode1
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language DataCode0
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images—0
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic DataCode1
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses—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