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Learning to Execute

2 papers with code · Computer Code

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Universal Transformers

ICLR 2019 tensorflow/tensor2tensor

Feed-forward and convolutional architectures have recently been shown to achieve superior results on some sequence modeling tasks such as machine translation, with the added advantage that they concurrently process all inputs in the sequence, leading to easy parallelization and faster training times.

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.

LEARNING TO EXECUTE