We further proposed Conditional Adversarially Regularized Autoencoder(CARAE) model which is similar to the ARAE model but with the addition of condition nodes so that additional information about the cluster can
基于之前提出的 WAE(Wasserstein Autoencoder,将对抗性自动编码器(AAE)形式化为最佳运输问题)。作者首先将该框架扩展为离散序列建模,然后进一步探索针对可控表示的不同学习先验知识。我们的模型从输入空间到对抗正则化的连续隐空间中学习编码器。但是,与使用固定先验的 AAE 不同,作者像 GAN 一样改为参数化先验学习。
Pouya Pezeshkpouretal., Proceddings of the 2018 Conference on Empirical Methods in Natural...):adversariallyregularizedautoencoder (ARAE). 图像(Images): conditional GAN structure. 图2: MKBE架构图。 个人总结 图卷积神经网络GCN--自动编码器代表作 ...
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun - jakezhaojb/ARAE
Deep autoencoders have recently been applied to blind hyperspectral unmixing task to estimate endmembers and their corresponding abundances simultaneously. The objective of an original autoencoder is to reconstruct an input data matrix unsupervisedly with an encoder network and a decoder network. For ...
Therefore, this paper proposes an adversarially regularized network representation learning model based on attention mechanism, which encodes the topology features and content information of the network into a low-dimensional embedding vector representation through a graph attention autoencoder. Meanwhile, ...