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 281290 of 308 papers

TitleStatusHype
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models0
Synthetic Dataset Generation with Itemset-Based Generative Models0
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation0
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation0
Synthetic Datasets for Autonomous Driving: A Survey0
V^2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations0
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