57K views · 5 comments | The cost of training and deploying large ML models has put focus on model compression. Researchers show that with the right initialization and regularization schemes, factorized neural layers can achieve higher accuracy than popular sparsity-based methods: https://aka.ms/AAbklog | Microsoft Research | Facebook