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Max margin contrastive loss (Hadsell et al. 2006) takes a pair of embedding vectors z_i and z_j as inputs. It essentially equates the Euclidean distance* between them if they have the same label (y_i=y_j) and is otherwise equivalent to hinge loss, It has a margin parameter m > 0 to impose a lower bound on the distance : label 이 같을 때, 다를 때 나눠서 각각에 거리를 loss 에 반영.

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2021/08/14 08:17
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*유클리드 거리 d
이런 form 을 hige loss (❓what is hinge loss) 라고 부르는구나.