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Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 751–800 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
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss FunctionsCode1
Privacy-preserving data sharing via probabilistic modellingCode1
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised LearningCode0
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data ChallengeCode0
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar CoronaCode0
Data Generation for Neural Programming by ExampleCode0
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors—0
SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task—0
Animal Detection in Man-made EnvironmentsCode0
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open QuestionsCode0
Differentially Private Mixed-Type Data Generation For Unsupervised LearningCode0
Restyling Data: Application to Unsupervised Domain Adaptation—0
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition—0
PMU Data Feature Considerations for Realistic, Synthetic Data Generation—0
Trustable and Automated Machine Learning Running with Blockchain and Its Applications—0
Supervised Symbolic Music Style Translation Using Synthetic DataCode0
Generalizing Back-Translation in Neural Machine Translation—0
Synthetic QA Corpora Generation with Roundtrip ConsistencyCode2
PATE-GAN: Generating Synthetic Data with Differential Privacy GuaranteesCode0
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines—0
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation—0
Learning to Generate Synthetic Data via Compositing—0
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation—0
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis—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