Slimmable Neural Networks
ICLR, Volume abs/1812.08928, 2019.
We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individual networks with different width configurations, we train a shared network with switchable batch no...More
PPT (Upload PPT)