Prior studies either have a mismatch between training and inference as different routines are followed in the two phases, or compute losses with respect to each individual label and make flat predictions during inference time.
the local per-parent label probabil- where σ denotes the sigmoid function, and C t ∈ R |C(lt)|×C denotes the candidate embeddings of HiLAP-SL, i.e., an embedding matrix consisting of the children of current label l t , rather than all the labels where x i has been placed.