Abstract: Low-rank decomposition (LRD) and pruning-based methodologies are usually applied to compress neural networks. When targeting a large compression ratio in one shot, LRD-based methods such as ...
Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...