Generalizability theory

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

Federated learning improves site performance in multicenter deep learning without data sharing

Privacy-first health research with federated learning

Federated Learning for Breast Density Classification: A Real-World Implementation

From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning

A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design