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. 2010.04505
  4. Cited By
Self-Paced Learning for Neural Machine Translation

Self-Paced Learning for Neural Machine Translation

9 October 2020
Boyi Deng
Baosong Yang
Derek F. Wong
Yikai Zhou
Lidia S. Chao
Haibo Zhang
Boxing Chen
ArXivPDFHTML

Papers citing "Self-Paced Learning for Neural Machine Translation"

9 / 9 papers shown
Title
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning
  for Sequence Labeling
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Xuemei Tang
Qi Su
21
0
0
21 Feb 2024
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification
  Tasks
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Jean-Michel Attendu
Jean-Philippe Corbeil
33
15
0
05 Jun 2023
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics
  Without the Reference
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Vilém Zouhar
S. Dhuliawala
Wangchunshu Zhou
Nico Daheim
Tom Kocmi
Yuchen Eleanor Jiang
Mrinmaya Sachan
18
9
0
21 Jan 2023
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
42
3
0
22 Oct 2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
Boyi Deng
Keqin Bao
Dayiheng Liu
Baosong Yang
Derek F. Wong
Lidia S. Chao
Wenqiang Lei
Jun Xie
22
9
0
18 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Exploiting Neural Query Translation into Cross Lingual Information
  Retrieval
Exploiting Neural Query Translation into Cross Lingual Information Retrieval
Liang Yao
Baosong Yang
Haibo Zhang
Weihua Luo
Boxing Chen
22
12
0
26 Oct 2020
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
1