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Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation

Neural Information Processing Systems

Neural Machine Translation (NMT) has achieved remarkable progress with the quick evolvement of model structures. In this paper, we propose the concept of layer-wise coordination for NMT, which explicitly coordinates the learning of hidden representations of the encoder and decoder together layer by layer,gradually from lowleveltohigh level.





DecentralizedCooperativeStochasticBandits

Neural Information Processing Systems

In the most basic setting of this problem, an agent has to pull one among a finite set of arms (or actions), and she receives a reward that depends on the chosen action.