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sequence_to_sequence [2017/04/10 19:48]
127.0.0.1 external edit
sequence_to_sequence [2018/10/20 13:33] (current)
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 https://​arxiv.org/​pdf/​1704.02312v1.pdf A Constrained Sequence-to-Sequence https://​arxiv.org/​pdf/​1704.02312v1.pdf A Constrained Sequence-to-Sequence
 Neural Model for Sentence Simplification ​ Neural Model for Sentence Simplification ​
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 +https://​arxiv.org/​pdf/​1810.01218v1.pdf AlphaSeq: Sequence Discovery with Deep
 +Reinforcement Learning
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 +https://​github.com/​locuslab/​trellisnet ​
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 +This allows trellis networks to serve as bridge between recurrent and convolutional architectures,​ benefitting from algorithmic and architectural techniques developed in either context. We leverage these relationships to design high-performing trellis networks that absorb ideas from both architectural families.