Researcher profile

Niki Parmar

3 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Attention Is All You Need

    2025

    The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a …

  2. Fast Decoding in Sequence Models using Discrete Latent Variables

    2018 · arXiv (Cornell University)

    Autoregressive sequence models based on deep neural networks, such as RNNs, Wavenet and the Transformer attain state-of-the-art results on many tasks. However, they are difficult to parallelize and are thus slow at processing long sequences. …

  3. Corpora Generation for Grammatical Error Correction

    2019

    Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and …