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
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
Cognition Chain for Explainable Psychological Stress Detection on Social MediaCode0
Code Execution as Grounded Supervision for LLM ReasoningCode0
Geometric Generality of Transformer-Based Gröbner Basis ComputationCode0
A universal synthetic dataset for machine learning on spectroscopic dataCode0
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning BenchmarksCode0
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous ChangesCode0
Closing the Loop: A Framework for Trustworthy Machine Learning in Power SystemsCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order FlippingCode0
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