US Patent 11790236 Minimum deep learning with gating multiplier

Systems and methods according to the present disclosure can employ a computer-implemented method for inference using a machine-learned model. The method can be implemented by a computing system having one or more computing devices. The method can include obtaining data descriptive of a neural network including one or more network units and one or more gating paths, wherein each of the gating path(s) includes one or more gating units. The method can include obtaining data descriptive of one or more input features. The method can include determining one or more network unit outputs from the network unit(s) based at least in part on the input feature(s). The method can include determining one or more gating values from the gating path(s). The method can include determining one or more gated network unit outputs based at least in part on a combination of the network unit output(s) and the gating value(s).