2018
A Bridging Framework for Model Optimization and Deep Propagation
NeurIPS 2018poster
Optimizing task-related mathematical model is one of the most fundamental methodologies in statistic and learning areas. However, generally designed schematic iterations may hard to investigate complex data distributions in real-world applications. Recently, training deep propagations (i.e., network…