SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 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
Leveraging GANs for data scarcity of COVID-19: Beyond the hype—0
Leveraging Open-Source Large Language Models for encoding Social Determinants of Health using an Intelligent Router—0
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation—0
License Plate Images Generation with Diffusion Models—0
Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training—0
Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells—0
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data Generation—0
LLM-based Code-Switched Text Generation for Grammatical Error Correction—0
LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents—0
LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation—0
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving—0
Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies—0
Logical Reasoning for Task Oriented Dialogue Systems—0
Machine Learning for Synthetic Data Generation: A Review—0
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification—0
Making Large Language Models into World Models with Precondition and Effect Knowledge—0
Making Sense of Data in the Wild: Data Analysis Automation at Scale—0
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data—0
MALT: Improving Reasoning with Multi-Agent LLM Training—0
MANTA -- Model Adapter Native generations that's Affordable—0
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis—0
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation—0
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation—0
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation—0
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation—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