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 7180 of 308 papers

TitleStatusHype
Learning to Compute Gröbner BasesCode0
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender SystemsCode0
Learning Camera Miscalibration DetectionCode0
Learning to Propagate for Graph Meta-LearningCode0
JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLMCode0
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
Building Large Machine Reading-Comprehension Datasets using Paragraph VectorsCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
Affordance Learning for End-to-End Visuomotor Robot ControlCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Show:102550
← PrevPage 8 of 31Next →

No leaderboard results yet.