2021
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
ICLR 2021poster
Deep generative models provide a powerful set of tools to understand real-world data. But as these models improve, they increase in size and complexity, so their computational cost in memory and execution time grows. Using binary weights in neural networks is one method which has shown promise in re…