Tag: data augmentation
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SynSur: Synthetic Defect Generation for Industrial Inspection
Discover SynSur, an end-to-end pipeline that generates synthetic industrial surface defects to enhance defect detection and improve model training.
Generative Synthetic Data for Reliable Causal Inference
Explore pitfalls and remedies in using generative synthetic data for causal inference, enhancing accuracy with a hybrid framework and robust diagnostics.
Data Augmentation for Transformer Models in NGSS AI Scoring
Improve AI scoring of NGSS scientific explanations using data augmentation and resampling to tackle class imbalance in transformer-based models.
1S-DAug: One-Shot Data Augmentation for Few-Shot AI
Discover 1S-DAug, a one-shot data augmentation method boosting few-shot learning accuracy by up to 20% without model retraining.
Boost Market Research with LLM Data Augmentation
Discover how Large Language Models enhance market research accuracy and reduce costs through innovative data augmentation techniques.