SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 822 papers

TitleStatusHype
BLEUBERI: BLEU is a surprisingly effective reward for instruction followingCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian LanguagesCode1
AnthroNet: Conditional Generation of Humans via AnthropometricsCode1
Differentially Private Synthetic Medical Data Generation using Convolutional GANsCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data GenerationCode1
PyTrial: Machine Learning Software and Benchmark for Clinical Trial ApplicationsCode1
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsCode1
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown InterventionsCode1
Delving into High-Quality Synthetic Face Occlusion Segmentation DatasetsCode1
RLIP: Relational Language-Image Pre-training for Human-Object Interaction DetectionCode1
ConText-CIR: Learning from Concepts in Text for Composed Image RetrievalCode1
Scenic: A Language for Scenario Specification and Scene GenerationCode1
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in ThaiCode1
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic DataCode1
DeepNAG: Deep Non-Adversarial Gesture GenerationCode1
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and DatasetCode1
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing IndustryCode1
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
RAGSynth: Synthetic Data for Robust and Faithful RAG Component OptimizationCode1
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss FunctionsCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
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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