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Chaitanya Ahuja

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling

    2017 · arXiv (Cornell University)

    Recurrent neural networks have shown remarkable success in modeling sequences. However low resource situations still adversely affect the generalizability of these models. We introduce a new family of models, called Lattice Recurrent Units (LRU), to …