简介：Google家在SimCLR自监督对比学习（contrastive learning）的loss结构基础上，延伸到有监督学习中 ...

Clusters capsules using K-Means Routing instead of Dynamic Routing. Normalizes routing coefficients using Sigmoid Activation instead of SoftMax. Trains the network using Prototype Learning for ...

Sigmoid Function,Signal-to-interference-plus-noise Ratio,Softmax Function,System Energy Efficiency,System-level Energy Efficiency,Transmission Power,Transmit Power Allocation,Unsupervised ...

Sigmoid,Signaling In Various Types,Softmax Output,System Dynamics,System Gain,System Identification,Temporal Delay,Time Delay,Time-delay Neural Network,Time-delay Systems,Training Loss,Transfer ...

The unit square sigmoid (cf. Equations 43 ... a simple but powerful decision model is the softmax rule (Sutton and Barto, 1998; Daw et al., 2006) where y i is one particular option and the sum runs ...