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 171180 of 308 papers

TitleStatusHype
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey0
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis0
Learning to Compute Gröbner BasesCode0
Masked Face Dataset Generation and Masked Face RecognitionCode0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources0
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization0
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