Nearly four in 10 adult Americans have tried to transfer credit toward a college degree or credential. Of those, 58 percent lost credits in the process. For some, the consequences were severe: using ...

Transfer learning speeds up model training by reusing pre-trained models for new tasks. It reduces data needs, enhancing performance and progress in new ML applications. Transfer learning is limited ...

Data sparseness is a major limiting factor for deep machine learning. In the natural sciences, data distributions are heterogeneous. For instance, in chemistry and early-phase drug discovery, compound ...