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Found 4 papers, 1 papers with code
Generative Adversarial Nets for Multiple Text Corpora
Generative adversarial nets (GANs) have been successfully applied to the artificial generation of image data.
An Attention-Based Deep Net for Learning to Rank
In information retrieval, learning to rank constructs a machine-based ranking model which given a query, sorts the search results by their degree of relevance or importance to the query.
Regularization for Unsupervised Deep Neural Nets
Unsupervised neural networks, such as restricted Boltzmann machines (RBMs) and deep belief networks (DBNs), are powerful tools for feature selection and pattern recognition tasks.
Temporal Topic Analysis with Endogenous and Exogenous Processes
We consider the problem of modeling temporal textual data taking endogenous and exogenous processes into account.
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