Graph Regularized Variational Ladder Networks for Semi-Supervised Learning
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DOI: 10.1109/access.2020.3038276
Abstract: To tackle the problem of semi-supervised learning (SSL), we propose a new autoencoder-based deep model. Ladder networks (LN) is an autoencoder-based method for representation learning which has been successfully applied on unsupervised learning and semi-supervised… read more here.
Keywords: graph regularized; regularized variational; ladder networks; semi supervised ... See more keywords