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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 141150 of 308 papers

TitleStatusHype
Low-Biased General Annotated Dataset Generation0
DataFreeShield: Defending Adversarial Attacks without Training Data0
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection0
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions0
Automatic dataset generation for specific object detection0
Anchored Alignment for Self-Explanations Enhancement0
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs0
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization0
Conversational QA Dataset Generation with Answer Revision0
Contextual Paralinguistic Data Creation for Multi-Modal Speech-LLM: Data Condensation and Spoken QA Generation0
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