Fast Decoding in Sequence Models using Discrete Latent Variables

9 March 2018

Papers citing "Fast Decoding in Sequence Models using Discrete Latent Variables"

10 / 60 papers shown

Title
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Non-Autoregressive Neural Text-to-Speech Kainan Peng Ming-Yu Liu Z. Song Kexin Zhao 29 39 0 21 May 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 22 41 0 15 May 2019
Incorporating Symbolic Sequential Modeling for Speech Enhancement Chien-Feng Liao Yu Tsao Xugang Lu Hisashi Kawai 21 18 0 30 Apr 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization Yiren Wang Fei Tian Di He Tao Qin ChengXiang Zhai Tie-Yan Liu 16 158 0 22 Feb 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade T. Shen Myle Ott Michael Auli MarcÁurelio Ranzato MoE 33 148 0 20 Feb 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 24 122 0 29 Jan 2019
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input Junliang Guo Xu Tan Di He Tao Qin Linli Xu Tie-Yan Liu 16 125 0 23 Dec 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval Hanwei Wu M. Flierl SSL CML DRL 29 19 0 12 Jul 2018
Theory and Experiments on Vector Quantized Autoencoders Aurko Roy Ashish Vaswani Arvind Neelakantan Niki Parmar 11 85 0 28 May 2018