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Found 3 papers, 2 papers with code
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences
We also evaluate supervised version of these embeddings and show that unsupervised syntagmatic embeddings can be as good as supervised embeddings.
Decomposing the Deep: Finding Class Specific Filters in Deep CNNs
Interpretability of Deep Neural Networks has become a major area of exploration.
Multi-cell LSTM Based Neural Language Model
Long Short-Term Memory (LSTM) architecture solves the inadequacies of the standard RNN in modeling long-range contexts.
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