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 131140 of 308 papers

TitleStatusHype
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness0
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement0
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications0
A New Tool for Efficiently Generating Quality Estimation Datasets0
An Evolutionary Large Language Model for Hallucination Mitigation0
Accelerating Edge Intelligence via Integrated Sensing and Communication0
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios0
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning0
Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems0
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation0
Show:102550
← PrevPage 14 of 31Next →

No leaderboard results yet.