Neural Turing Machines
Outstanding for letting a neural network learn an algorithm with seemingly good generalization over long time dependencies. Sequences recall problem.
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- 2026-10-10
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Massive Exploration of Neural Machine Translation Architectures arxiv.org
That yields intuition about the boundaries of what works for doing NMT within a framed seq2seq problem formulation.
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Neural Task Programming: Learning to Generalize Across Hierarchical Tasks ieeexplore.ieee.org
ICRA'18, 2018. [All Versions].
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Hybrid computing using a neural network with dynamic external memory clgiles.ist.psu.edu
Nature, 2016. [All Versions].
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Neural Machine Translation and Sequence-to-sequence Models: A Tutorial arxiv.org
Interesting overview of the subject of NMT, I mostly read part 8 about RNNs with attention as a refresher.
Education › Papers > Attention Mechanisms: “Outstanding for letting a neural network learn an algorithm with seemingly good generalization over long time dependencies. Sequences recall problem.”