ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.08122
  4. Cited By
Sequence-Level Training for Non-Autoregressive Neural Machine
  Translation

Sequence-Level Training for Non-Autoregressive Neural Machine Translation

15 June 2021
Chenze Shao
Yang Feng
Jinchao Zhang
Fandong Meng
Jie Zhou
ArXivPDFHTML

Papers citing "Sequence-Level Training for Non-Autoregressive Neural Machine Translation"

33 / 33 papers shown
Title
Modeling Coverage for Non-Autoregressive Neural Machine Translation
Modeling Coverage for Non-Autoregressive Neural Machine Translation
Yong Shan
Yang Feng
Chenze Shao
61
5
0
24 Apr 2021
Learning to Recover from Multi-Modality Errors for Non-Autoregressive
  Neural Machine Translation
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
Qiu Ran
Yankai Lin
Peng Li
Jie Zhou
47
39
0
09 Jun 2020
Improving Non-autoregressive Neural Machine Translation with Monolingual
  Data
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
Jiawei Zhou
Phillip Keung
96
27
0
02 May 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine
  Translation
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
Lifu Tu
Richard Yuanzhe Pang
Sam Wiseman
Kevin Gimpel
74
52
0
02 May 2020
Non-Autoregressive Machine Translation with Latent Alignments
Non-Autoregressive Machine Translation with Latent Alignments
Chitwan Saharia
William Chan
Saurabh Saxena
Mohammad Norouzi
56
158
0
16 Apr 2020
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Marjan Ghazvininejad
Vladimir Karpukhin
Luke Zettlemoyer
Omer Levy
67
115
0
03 Apr 2020
Non-autoregressive Transformer by Position Learning
Non-autoregressive Transformer by Position Learning
Yu Bao
Hao Zhou
Jiangtao Feng
Mingxuan Wang
Shujian Huang
Jiajun Chen
LI Lei
50
34
0
25 Nov 2019
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural
  Machine Translation
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
Chenze Shao
Jinchao Zhang
Yang Feng
Fandong Meng
Jie Zhou
53
91
0
21 Nov 2019
Guiding Non-Autoregressive Neural Machine Translation Decoding with
  Reordering Information
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
Qiu Ran
Yankai Lin
Peng Li
Jie Zhou
77
73
0
06 Nov 2019
Fast Structured Decoding for Sequence Models
Fast Structured Decoding for Sequence Models
Zhiqing Sun
Zhuohan Li
Haoqing Wang
Zi Lin
Di He
Zhihong Deng
82
122
0
25 Oct 2019
Hint-Based Training for Non-Autoregressive Machine Translation
Hint-Based Training for Non-Autoregressive Machine Translation
Zhuohan Li
Zi Lin
Di He
Fei Tian
Tao Qin
Liwei Wang
Tie-Yan Liu
52
72
0
15 Sep 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with
  Generative Flow
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma
Chunting Zhou
Xian Li
Graham Neubig
Eduard H. Hovy
AI4TS
BDL
51
191
0
05 Sep 2019
Latent-Variable Non-Autoregressive Neural Machine Translation with
  Deterministic Inference Using a Delta Posterior
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
Raphael Shu
Jason D. Lee
Hideki Nakayama
Kyunghyun Cho
BDL
62
117
0
20 Aug 2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine
  Translation
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao
Yang Feng
Jinchao Zhang
Fandong Meng
Xilin Chen
Jie Zhou
53
42
0
22 Jun 2019
Syntactically Supervised Transformers for Faster Neural Machine
  Translation
Syntactically Supervised Transformers for Faster Neural Machine Translation
Nader Akoury
Kalpesh Krishna
Mohit Iyyer
56
55
0
06 Jun 2019
Bridging the Gap between Training and Inference for Neural Machine
  Translation
Bridging the Gap between Training and Inference for Neural Machine Translation
Wen Zhang
Yang Feng
Fandong Meng
Di You
Qun Liu
AIMat
70
241
0
06 Jun 2019
Levenshtein Transformer
Levenshtein Transformer
Jiatao Gu
Changhan Wang
Jake Zhao
116
359
0
27 May 2019
Greedy Search with Probabilistic N-gram Matching for Neural Machine
  Translation
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
Chenze Shao
Yang Feng
Xilin Chen
44
28
0
10 Sep 2018
Bag-of-Words as Target for Neural Machine Translation
Bag-of-Words as Target for Neural Machine Translation
Shuming Ma
Xu Sun
Yizhong Wang
Junyang Lin
3DV
41
76
0
13 May 2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Fast Decoding in Sequence Models using Discrete Latent Variables
Łukasz Kaiser
Aurko Roy
Ashish Vaswani
Niki Parmar
Samy Bengio
Jakob Uszkoreit
Noam M. Shazeer
59
232
0
09 Mar 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
82
186
0
14 Nov 2017
Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation
Jiatao Gu
James Bradbury
Caiming Xiong
Victor O.K. Li
R. Socher
102
795
0
07 Nov 2017
Improving Neural Machine Translation with Conditional Sequence
  Generative Adversarial Nets
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen-Le Yang
Wei Chen
Feng Wang
Bo Xu
GAN
AI4CE
75
170
0
15 Mar 2017
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
122
594
0
27 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
894
6,790
0
26 Sep 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Mohammad Norouzi
Samy Bengio
Zhiwen Chen
Navdeep Jaitly
M. Schuster
Yonghui Wu
Dale Schuurmans
77
253
0
01 Sep 2016
Minimum Risk Training for Neural Machine Translation
Minimum Risk Training for Neural Machine Translation
Shiqi Shen
Yong Cheng
Zhongjun He
W. He
Hua Wu
Maosong Sun
Yang Liu
114
469
0
08 Dec 2015
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
221
7,745
0
31 Aug 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
145
2,034
0
09 Jun 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,553
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
555
27,311
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
Lex Weaver
Nigel Tao
117
247
0
10 Jan 2013
1