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Found 8 papers, 1 papers with code
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Recurrent Neural Network Language Models composed of LSTM units, especially those augmented with an external memory, have achieved state-of-the-art results in Language Modeling.
Generating Diverse and Meaningful Captions
Image Captioning is a task that requires models to acquire a multi-modal understanding of the world and to express this understanding in natural language text.
Attentive Language Models
In this paper, we extend Recurrent Neural Network Language Models (RNN-LMs) with an attention mechanism.
Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier
In our work we address limitations in the state-of-the-art in idiom type identification.
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