通过生成纠缠来分解变化因素

Oct, 2012

Disentangling Factors of Variation via Generative Entangling

Guillaume Desjardins, Aaron Courville, Yoshua Bengio

TL;DR提出了一个通过spike-and-slab受限玻尔兹曼机实现高阶交互来分离数据变异因素的新模型，与以往不同的是该模型不需要使用潜在因素的监督信息来训练，并在面部表情分类任务中展示了其效果。

Abstract

Here we propose a novel model family with the objective of learning to disentangle the factors of variation in data. Our approach is based on the spike-and-slab restricted boltzmann machine which we generalize to include →