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Unsupervised pre-training for fully convolutional neural networks
(Institute of Electrical and Electronics Engineers, 2016)
Unsupervised pre-training of neural networks has been shown to act as a regularization technique, improving performance and reducing model variance. Recently, fully con-volutional networks (FCNs) have shown state-of-the-art ...
N-gram representations for comment filtering
(ACM, Inc., 2015-09)
Accurate classifiers for short texts are valuable assets in many applications. Especially in online communities, where users contribute to content in the form of posts and comments, an effective way of automatically ...
Learning dynamics of linear denoising autoencoders
Denoising autoencoders (DAEs) have proven useful for unsupervised representation learning, but a thorough theoretical understanding is still lacking of how the input noise influences learning. Here we develop theory ...