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When used in the design of flexible lithium-ion capacitors, dual metal sulfides-ZnS/CuS in particular, show a noticeable improvement in electrochemical stability and performance over transition metal sulfides and carbon fiber materials.
This week, it's all about the dough: Focaccia and flaky filled pastries from Funke and a pizza pop-up slinging a new style of pizza called Hokkaidough.
The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning. Contrastive Training Objectives In early versions of loss functions for contrastive learning, only one positive and one negative sample are involved.