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 251260 of 308 papers

TitleStatusHype
On the Elements of Datasets for Cyber Physical Systems Security0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Automatic dataset generation for specific object detection0
A universal synthetic dataset for machine learning on spectroscopic dataCode0
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset GenerationCode0
Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting0
Closing the Loop: A Framework for Trustworthy Machine Learning in Power SystemsCode0
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender SystemsCode0
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier0
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