US Patent 12026619 Slimmable neural network architecture search optimization

Disclosed are systems and methods to perform neural architecture search (“NAS”) that automatically optimizes for the number of channels to allocate to each layer of a deep neural network. Some implementations include a pairwise slimming that includes a global optimization step. Likewise, in some implementations, a bias toward a region of interest may be applied to channel path selection during training.