Sequence to Sequence Mixture Model for Diverse Machine Translation

17 October 2018

Papers citing "Sequence to Sequence Mixture Model for Diverse Machine Translation"

11 / 11 papers shown

Title
Target-Side Augmentation for Document-Level Machine Translation Guangsheng Bao Zhiyang Teng Yue Zhang 26 10 0 08 May 2023
Exploring Diversity in Back Translation for Low-Resource Machine Translation Laurie Burchell Alexandra Birch Kenneth Heafield 29 15 0 01 Jun 2022
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy Shaolei Zhang Yang Feng MoE 20 39 0 11 Sep 2021
Mixup Decoding for Diverse Machine Translation Jicheng Li Pengzhi Gao Xuanfu Wu Yang Feng Zhongjun He Hua-Hong Wu Haifeng Wang 30 14 0 08 Sep 2021
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 27 50 0 23 Jul 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits Mikolaj Sacha Mikolaj Blaz Piotr Byrski Paweł Dąbrowski-Tumański Mikołaj Chromiński Rafał Loska Pawel Wlodarczyk-Pruszynski Stanislaw Jastrzebski GNN 25 142 0 27 Jun 2020
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis Benson Chen T. Shen Tommi Jaakkola Regina Barzilay 16 46 0 21 Oct 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade T. Shen Myle Ott Michael Auli MarcÁurelio Ranzato MoE 27 148 0 20 Feb 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016