SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 291300 of 308 papers

TitleStatusHype
DataFreeShield: Defending Adversarial Attacks without Training Data0
Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves0
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer0
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions0
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)0
Generative Adversarial Networks for anonymous Acneic face dataset generation0
Generative Dataset Distillation: Balancing Global Structure and Local Details0
Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern0
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs0
Conversational QA Dataset Generation with Answer Revision0
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