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

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Showing 151–175 of 308 papers

TitleStatusHype
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems—0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models—0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models—0
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation—0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation—0
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation—0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing—0
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World—0
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation—0
Model-Driven Dataset Generation for Data-Driven Battery SOH Models—0
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors—0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text—0
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation—0
MVTrans: Multi-View Perception of Transparent Objects—0
Neural Error Covariance Estimation for Precise LiDAR Localization—0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation—0
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment—0
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment—0
One-Shot Federated Learning with Classifier-Free Diffusion Models—0
On the Elements of Datasets for Cyber Physical Systems Security—0
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models—0
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