[R] DeepCoder: Learning to Write Programs • /r/MachineLearning

I must admit however that I find that it odd that you introduce so many heuristics/restrictions (fixed embedding size, fixed sequence length, etc), in handling the input-output pairs for the feedforward encoder-decoder. It strikes me that part of the contribution is to get rid of heuristics to increase program search efficiency through machine learning. Although your approach does greatly improve with respect to a weakly-informed baseline; you also introduce the need for even further tuning of fixed parameters/restrictions to be able to learn your model. Perhaps in this context a GRU/LSTM to replace the current feed forward encoder/decoder isn't such a bad idea after all?