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Improving Back-Translation with Uncertainty-based Confidence Estimation

Improving Back-Translation with Uncertainty-based Confidence Estimation

31 August 2019
Shuo Wang
Yang Liu
Chao Wang
Huanbo Luan
Maosong Sun
    UQLM
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Papers citing "Improving Back-Translation with Uncertainty-based Confidence Estimation"

16 / 16 papers shown
Title
Language Model Cascades: Token-level uncertainty and beyond
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta
Harikrishna Narasimhan
Wittawat Jitkrittum
A. S. Rawat
A. Menon
Sanjiv Kumar
UQLM
53
42
0
15 Apr 2024
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning
  for Sequence Labeling
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Xuemei Tang
Qi Su
18
0
0
21 Feb 2024
Competency-Aware Neural Machine Translation: Can Machine Translation
  Know its Own Translation Quality?
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Pei Zhang
Baosong Yang
Hao-Ran Wei
Dayiheng Liu
Kai Fan
Luo Si
Jun Xie
21
3
0
25 Nov 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and
  Cross-lingual NLU
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Fenia Christopoulou
Gerasimos Lampouras
Ignacio Iacobacci
40
3
0
22 Oct 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
Bowen Qin
Lihan Wang
Binyuan Hui
Bowen Li
Xiangpeng Wei
Binhua Li
Fei Huang
Luo Si
Min Yang
Yongbin Li
42
9
0
14 Sep 2022
Learning Confidence for Transformer-based Neural Machine Translation
Learning Confidence for Transformer-based Neural Machine Translation
Yu Lu
Jiali Zeng
Jiajun Zhang
Shuangzhi Wu
Mu Li
36
9
0
22 Mar 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
24
58
0
03 Nov 2021
Neural Machine Translation for Low-Resource Languages: A Survey
Neural Machine Translation for Low-Resource Languages: A Survey
Surangika Ranathunga
E. Lee
Marjana Prifti Skenduli
Ravi Shekhar
Mehreen Alam
Rishemjit Kaur
32
236
0
29 Jun 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
UQCV
MedIm
36
12
0
21 Jun 2021
Alternated Training with Synthetic and Authentic Data for Neural Machine
  Translation
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
Rui Jiao
Zonghan Yang
Maosong Sun
Yang Liu
14
10
0
16 Jun 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools
Neural Machine Translation: A Review of Methods, Resources, and Tools
Zhixing Tan
Shuo Wang
Zonghan Yang
Gang Chen
Xuancheng Huang
Maosong Sun
Yang Liu
3DV
AI4TS
15
105
0
31 Dec 2020
Revisiting Iterative Back-Translation from the Perspective of
  Compositional Generalization
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo Guo
Hualei Zhu
Zeqi Lin
Bei Chen
Jian-Guang Lou
Dongmei Zhang
BDL
182
26
0
08 Dec 2020
On the Inference Calibration of Neural Machine Translation
On the Inference Calibration of Neural Machine Translation
Shuo Wang
Zhaopeng Tu
Shuming Shi
Yang Liu
19
80
0
03 May 2020
Explaining and Generalizing Back-Translation through Wake-Sleep
Explaining and Generalizing Back-Translation through Wake-Sleep
Ryan Cotterell
Julia Kreutzer
110
39
0
12 Jun 2018
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
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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