Sentence examples for latent representations from inspiring English sources

In this paper, we introduce sparsity to PTM to improve the interpretability of the inferred latent representations.

Though useful, PTM has some limitations in interpreting the latent representations of images and texts, which if addressed would broaden its applicability.

The Probability Topic Models (PTMs) attempt to address this issue by learning latent representations of input samples, and have been shown to be effective by existing studies.

On top of the deep neural network, Linear Discriminant Analysis (LDA) is reinforced such that linearly separable latent representations can be learned in an end-to-end fashion.

Perozzi et al. [17] present DeepWalk which uses the SkipGram language model [18] for learning latent representations of nodes in a network by considering a set of short truncated random walks.

We show that FuseNet's high performance is attributed to the ability to model non-Gaussian distributions and fusion of data through sharing of latent representations.

Each of the (ftimes {n_{i}}) sub-matrix is the latent representation of context (C_{i}), as shown in Table 3.

After such process, standard classification models can be used on the source data with the latent representation to build a target classifier.

This disinhibition might permit the "reappearance" of the otherwise latent representation of the missing hand.

This might be a sign that the motor cortex contralateral to the missing limb receives strong inhibitory inputs which, if there were a latent representation of the missing limb, might prevent its activation by TMS.

Two essential components of Réd are latent representation of gene interactions and their transformation through the logistic function.