Because the model works on word-level predictions that treat each word as an instance, we take the average word features for each sentence as the input to compute the domain distance and use a mixed RBF kernel for the MMD mapping.
the mixed RBF kernel consists of three kernels with different kernel widths: 0.5, 0.025, and 0.0125.