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. 1811.00739
  4. Cited By
An Empirical Exploration of Curriculum Learning for Neural Machine
  Translation

An Empirical Exploration of Curriculum Learning for Neural Machine Translation

2 November 2018
Xuan Zhang
Manish Kumar
Huda Khayrallah
Kenton W. Murray
Jeremy Gwinnup
Marianna J. Martindale
Paul McNamee
Kevin Duh
Marine Carpuat
    ODL
ArXivPDFHTML

Papers citing "An Empirical Exploration of Curriculum Learning for Neural Machine Translation"

50 / 74 papers shown
Title
Token-Level Uncertainty-Aware Objective for Language Model Post-Training
Token-Level Uncertainty-Aware Objective for Language Model Post-Training
Tingkai Liu
Ari S. Benjamin
Anthony M. Zador
47
0
0
15 Mar 2025
Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy
  Data
Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data
Kancharla Aditya Hari
Manish Gupta
Vasudeva Varma
67
0
0
18 Dec 2024
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse
  Linear Bandits
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits
Adit Jain
Soumyabrata Pal
Sunav Choudhary
Ramasuri Narayanam
Vikram Krishnamurthy
21
1
0
26 Oct 2024
Optimizing the Training Schedule of Multilingual NMT using Reinforcement
  Learning
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning
Alexis Allemann
Àlex R. Atrio
Andrei Popescu-Belis
31
0
0
08 Oct 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of
  Legal Documents
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
T. Y. S. S. Santosh
Apolline Isaia
Shiyu Hong
Matthias Grabmair
AILaw
36
2
0
27 Sep 2024
In-Context Exploiter for Extensive-Form Games
In-Context Exploiter for Extensive-Form Games
Shuxin Li
Chang Yang
Youzhi Zhang
Pengdeng Li
Xinrun Wang
Xiao Huang
Hau Chan
Bo An
31
0
0
10 Aug 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual
  Backbone Training
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
Yulin Wang
Yang Yue
Rui Lu
Yizeng Han
Shiji Song
Gao Huang
VLM
64
12
0
14 May 2024
False Positive Sampling-based Data Augmentation for Enhanced 3D Object
  Detection Accuracy
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
Jiyong Oh
Junhaeng Lee
Woongchan Byun
Min-Ji Kong
Sang Hun Lee
3DPC
30
2
0
05 Mar 2024
Vygotsky Distance: Measure for Benchmark Task Similarity
Vygotsky Distance: Measure for Benchmark Task Similarity
Maxim K. Surkov
Ivan P. Yamshchikov
37
0
0
22 Feb 2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language
  Models
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen
Yihe Deng
Huizhuo Yuan
Kaixuan Ji
Quanquan Gu
SyDa
41
277
0
02 Jan 2024
A Systematic Review of Deep Learning-based Research on Radiology Report
  Generation
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
37
15
0
23 Nov 2023
Simple and Effective Input Reformulations for Translation
Simple and Effective Input Reformulations for Translation
Brian Yu
Hansen Lillemark
Kurt Keutzer
34
0
0
12 Nov 2023
Too Much Information: Keeping Training Simple for BabyLMs
Too Much Information: Keeping Training Simple for BabyLMs
Lukas Edman
Lisa Bylinina
32
4
0
03 Nov 2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain
  Adaptation in Neural Machine Translation
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
Keyu Chen
Zhuang Di
Mingchen Li
J. M. Chang
30
3
0
06 Sep 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed
  Inputs
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
Emmanuel Abbe
Elisabetta Cornacchia
Aryo Lotfi
30
11
0
29 Jun 2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Huanzhang Dou
Pengyi Zhang
Yuhan Zhao
Lin Dong
Zequn Qin
Xi Li
CVBM
VLM
41
24
0
06 Jun 2023
Token-Level Fitting Issues of Seq2seq Models
Token-Level Fitting Issues of Seq2seq Models
Guangsheng Bao
Zhiyang Teng
Yue Zhang
24
0
0
08 May 2023
A Curriculum View of Robust Loss Functions
A Curriculum View of Robust Loss Functions
Zebin Ou
Yue Zhang
NoLa
25
0
0
03 May 2023
Curricular Object Manipulation in LiDAR-based Object Detection
Curricular Object Manipulation in LiDAR-based Object Detection
Ziyue Zhu
Qiang Meng
Tianlin Li
Ke Wang
Liujiang Yan
Jian Yang
3DPC
30
9
0
09 Apr 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum
  Learning
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning
Shuang Ao
Stefan Rueger
Advaith Siddharthan
UQCV
34
0
0
29 Jan 2023
When Do Curricula Work in Federated Learning?
When Do Curricula Work in Federated Learning?
Saeed Vahidian
Sreevatsank Kadaveru
Woo-Ram Baek
Weijia Wang
Vyacheslav Kungurtsev
Chong Chen
M. Shah
Bill Lin
FedML
40
11
0
24 Dec 2022
Efficient Pre-training of Masked Language Model via Concept-based
  Curriculum Masking
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
Mingyu Lee
Jun-Hyung Park
Junho Kim
Kang-Min Kim
SangKeun Lee
18
12
0
15 Dec 2022
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual
  Machine Translation
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation
Maha Elbayad
Anna Y. Sun
Shruti Bhosale
MoE
54
9
0
15 Dec 2022
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and
  Training Efficiency via Efficient Data Sampling and Routing
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li
Z. Yao
Xiaoxia Wu
Minjia Zhang
Connor Holmes
Cheng Li
Yuxiong He
27
24
0
07 Dec 2022
In-sample Curriculum Learning by Sequence Completion for Natural
  Language Generation
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation
Qi Jia
Yizhu Liu
Haifeng Tang
Kenny Q. Zhu
ELM
SyDa
LRM
26
4
0
21 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training
  Visual Backbones
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
Yulin Wang
Yang Yue
Rui Lu
Tian-De Liu
Zhaobai Zhong
S. Song
Gao Huang
37
28
0
17 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
48
3
0
22 Oct 2022
From Easy to Hard: A Dual Curriculum Learning Framework for
  Context-Aware Document Ranking
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Yutao Zhu
J. Nie
Yixuan Su
Haonan Chen
Xinyu Zhang
Zhicheng Dou
30
11
0
22 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time
  Series
Confidence-Guided Learning Process for Continuous Classification of Time Series
Chenxi Sun
Moxian Song
D. Cai
B. Zhang
linda Qiao
Hongyan Li
14
6
0
14 Aug 2022
Competence-based Multimodal Curriculum Learning for Medical Report
  Generation
Competence-based Multimodal Curriculum Learning for Medical Report Generation
Fenglin Liu
Shen Ge
Yuexian Zou
Xian Wu
MedIm
27
132
0
24 Jun 2022
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring
  Expression Comprehension
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension
Peihan Miao
Wei Su
Gaoang Wang
Xuewei Li
Xi Li
ObjD
30
9
0
21 Apr 2022
Data Selection Curriculum for Neural Machine Translation
Data Selection Curriculum for Neural Machine Translation
Tasnim Mohiuddin
Philipp Koehn
Vishrav Chaudhary
James Cross
Shruti Bhosale
Chenyu You
35
11
0
25 Mar 2022
An Imitation Learning Curriculum for Text Editing with
  Non-Autoregressive Models
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models
Sweta Agrawal
Marine Carpuat
KELM
32
21
0
17 Mar 2022
Cyclical Curriculum Learning
Cyclical Curriculum Learning
Himmet Toprak Kesgin
M. Amasyalı
ODL
19
8
0
11 Feb 2022
Improving Neural Machine Translation by Denoising Training
Improving Neural Machine Translation by Denoising Training
Liang Ding
Keqin Peng
Dacheng Tao
VLM
AI4CE
41
6
0
19 Jan 2022
Do Data-based Curricula Work?
Do Data-based Curricula Work?
Maxim K. Surkov
Vladislav D. Mosin
Ivan P. Yamshchikov
22
4
0
13 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code
  Understanding
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Deze Wang
Zhouyang Jia
Shanshan Li
Yue Yu
Yun Xiong
Wei Dong
Xiangke Liao
38
80
0
04 Dec 2021
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation
  with Multi-Armed Bandits
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Julia Kreutzer
David Vilar
Artem Sokolov
49
15
0
13 Oct 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine
  Translation
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation
Jinliang Lu
Jiajun Zhang
29
7
0
23 Sep 2021
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup
  for Training GPT Models
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li
Minjia Zhang
Yuxiong He
15
37
0
13 Aug 2021
Curriculum generation using Autoencoder based continuous optimization
Curriculum generation using Autoencoder based continuous optimization
Dipankar Sarkar
Mukur Gupta
22
0
0
16 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions
  are Absent
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
Samira Abnar
Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
Nal Kalchbrenner
Hanie Sedghi
OOD
CLL
TTA
28
21
0
10 Jun 2021
Self-Guided Curriculum Learning for Neural Machine Translation
Self-Guided Curriculum Learning for Neural Machine Translation
Lei Zhou
Liang Ding
Kevin Duh
Shinji Watanabe
Ryohei Sasano
Koichi Takeda
19
17
0
10 May 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
27
85
0
14 Apr 2021
Token-wise Curriculum Learning for Neural Machine Translation
Token-wise Curriculum Learning for Neural Machine Translation
Chen Liang
Haoming Jiang
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
T. Zhao
21
4
0
20 Mar 2021
Learning Policies for Multilingual Training of Neural Machine
  Translation Systems
Learning Policies for Multilingual Training of Neural Machine Translation Systems
G. Kumar
Philipp Koehn
Sanjeev Khudanpur
22
1
0
11 Mar 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine
  Translation
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan
Xuebo Liu
Derek F. Wong
Lidia S. Chao
37
46
0
03 Mar 2021
Statistical Measures For Defining Curriculum Scoring Function
Statistical Measures For Defining Curriculum Scoring Function
Vinu Sankar Sadasivan
A. Dasgupta
22
2
0
27 Feb 2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text
  Generation with Curriculum Learning
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Ernie Chang
Hui-Syuan Yeh
Vera Demberg
27
40
0
06 Feb 2021
Curriculum Learning: A Survey
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
79
342
0
25 Jan 2021
12
Next