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Learning to Execute

2 papers with code · Computer Code

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Universal Transformers

10 Jul 2018tensorflow/tensor2tensor

In this paper we propose the Universal Transformer which addresses these practical and theoretical shortcomings and we show that it leads to improved performance on several tasks. We further employ an adaptive computation time (ACT) mechanism to allow the model to dynamically adjust the number of times the representation of each position in a sequence is revised.

LANGUAGE MODELLING LEARNING TO EXECUTE MACHINE TRANSLATION

Learning to Execute

17 Oct 2014wojciechz/learning_to_execute

Recurrent Neural Networks (RNNs) with Long Short-Term Memory units (LSTM) are widely used because they are expressive and are easy to train. Our interest lies in empirically evaluating the expressiveness and the learnability of LSTMs in the sequence-to-sequence regime by training them to evaluate short computer programs, a domain that has traditionally been seen as too complex for neural networks.

LEARNING TO EXECUTE