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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 191200 of 308 papers

TitleStatusHype
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness0
Accelerating PDE Data Generation via Differential Operator Action in Solution Space0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
Synthetic Dialogue Dataset Generation using LLM AgentsCode0
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter0
GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models0
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