SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 822 papers

TitleStatusHype
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets—0
Instruction Data Generation and Unsupervised Adaptation for Speech Language Models—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Interpretable classification of wiki-review streams—0
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation—0
Interrogating Paradigms in Self-supervised Graph Representation Learning—0
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data—0
IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding—0
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?—0
Joint Distributional Learning via Cramer-Wold Distance—0
Judge a Sentence by Its Content to Generate Grammatical Errors—0
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles—0
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI—0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
Large Language Model Benchmarks in Medical Tasks—0
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation—0
Learning Compositional Radiance Fields of Dynamic Human Heads—0
Learning Defect Prediction from Unrealistic Data—0
Learning from Reasoning Failures via Synthetic Data Generation—0
Learning to Generate Synthetic Data via Compositing—0
Learning Vine Copula Models For Synthetic Data Generation—0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances—0
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking—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