Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real Additive Margin Softmax for Speaker Verification   The additive margin softmax (AM-Softmax) loss has delivered remarkable
performance in speaker verification. A supposed behavior of AM-Softmax is that
it can shrink within-class variation by putting emphasis on target logits,
which in turn improves margin between target and non-target classes. In this
paper, we conduct a careful analysis on the behavior of AM-Softmax loss, and
show that this loss does not implement real max-margin training. Based on this
observation, we present a Real AM-Softmax loss which involves a true margin
function in the softmax training. Experiments conducted on VoxCeleb1, SITW and
CNCeleb demonstrated that the corrected AM-Softmax loss consistently
outperforms the original one. The code has been released at
https://gitlab.com/csltstu/sunine.

23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc