Tag: data augmentation
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Hybrid Diffusion Model for Enhanced Breast Ultrasound Images
Discover how a hybrid diffusion model improves breast ultrasound image augmentation, boosting quality and aiding accurate diagnostics.
Scaling RL for Code Generation with Synthetic Data
Explore how synthetic data and curricula scale reinforcement learning to boost code generation performance in AI models.
Synthetic Mixed Training: Boosting Language Models Beyond RAG
Discover how Synthetic Mixed Training surpasses RAG by combining synthetic QAs and documents for superior language model performance.
Weak-to-Strong Generalization in AI Superalignment
Explore how weak-to-strong generalization enhances AI superalignment by using weak supervision to train powerful, ethically aligned models efficiently.