SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 251–300 of 822 papers

TitleStatusHype
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction—0
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks—0
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors—0
Effects of Using Synthetic Data on Deep Recommender Models' Performance—0
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR—0
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review—0
Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation—0
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises—0
Gen-n-Val: Agentic Image Data Generation and Validation—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
Efficient Generative Modeling via Penalized Optimal Transport Network—0
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs—0
A density ratio framework for evaluating the utility of synthetic data—0
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
3-Dimensional residual neural architecture search for ultrasonic defect detection—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
Analyzing Bias in Diffusion-based Face Generation Models—0
LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes—0
Generative Zoo—0
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving—0
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
AutoSimulate: (Quickly) Learning Synthetic Data Generation—0
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets—0
Private Evolution Converges—0
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development—0
Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models—0
Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation—0
Copula Flows for Synthetic Data Generation—0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition—0
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement—0
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos—0
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study—0
Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans—0
Controlled Data Generation via Insertion Operations for NLU—0
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking—0
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition—0
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future—0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—0
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey—0
A Modified CTGAN-Plus-Features Based Method for Optimal Asset Allocation—0
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection—0
AugGen: Synthetic Augmentation Can Improve Discriminative Models—0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—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