Otherwise, the proposed DAZER may not generalize well to unseen categories.
we introduce an category classifier over h c,d to calculate the probability that h c,d belongs to each category seen during the training: where W 4 ∈ R C×la and b 4 ∈ R C are the weight matrix and bias vector for the classifier, C is the number of categories covered by the training set.