An Empirical Exploration of Curriculum Learning for Neural Machine Translation

2 November 2018

Marianna J. Martindale

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

24 / 74 papers shown

Title
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 18 216 0 17 Dec 2020
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 33 114 0 05 Dec 2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation Chen Xu Bojie Hu Yufan Jiang Kai Feng Zeyang Wang Shen Huang Qi Ju Tong Xiao Jingbo Zhu 15 22 0 30 Nov 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Self-Paced Learning for Neural Machine Translation Boyi Deng Baosong Yang Derek F. Wong Yikai Zhou Lidia S. Chao Haibo Zhang Boxing Chen 67 49 0 09 Oct 2020
Token-level Adaptive Training for Neural Machine Translation Shuhao Gu Jinchao Zhang Fandong Meng Yang Feng Wanying Xie Jie Zhou Dong Yu 20 32 0 09 Oct 2020
LSTMs Compose (and Learn) Bottom-Up Naomi Saphra Adam Lopez CoGe 26 18 0 06 Oct 2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation Wenxiang Jiao Xing Wang Shilin He Irwin King Michael R. Lyu Zhaopeng Tu 20 26 0 06 Oct 2020
Curriculum Learning with Diversity for Supervised Computer Vision Tasks Petru Soviany 19 10 0 22 Sep 2020
Norm-Based Curriculum Learning for Neural Machine Translation Xuebo Liu Houtim Lai Derek F. Wong Lidia S. Chao 25 118 0 03 Jun 2020
Word Interdependence Exposes How LSTMs Compose Representations Naomi Saphra Adam Lopez 39 3 0 27 Apr 2020
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization Zeyang Lei Zekang Li Jinchao Zhang Fandong Meng Yang Feng Yujiu Yang Cheng Niu Jie Zhou 6 0 0 26 Apr 2020
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models Mingjun Zhao Haijiang Wu Di Niu Xiaoli Wang 10 42 0 13 Apr 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation Dana Ruiter Josef van Genabith C. España-Bonet SSL 21 3 0 07 Apr 2020
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking Gustavo Penha C. Hauff 19 24 0 18 Dec 2019
Optimizing Data Usage via Differentiable Rewards Xinyi Wang Hieu H. Pham Paul Michel Antonios Anastasopoulos J. Carbonell Graham Neubig 18 60 0 22 Nov 2019
Data Ordering Patterns for Neural Machine Translation: An Empirical Study Siddhant Garg 20 0 0 23 Sep 2019
Learning a Multi-Domain Curriculum for Neural Machine Translation Wei Wang Ye Tian Jiquan Ngiam Yinfei Yang Isaac Caswell Zarana Parekh 25 39 0 28 Aug 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation Wei Wang Isaac Caswell Ciprian Chelba 28 57 0 03 Jun 2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation Xuan Zhang Pamela Shapiro Manish Kumar Paul McNamee Marine Carpuat Kevin Duh 20 123 0 14 May 2019
Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios Otilia Stretcu Graham Neubig Barnabás Póczós Tom Michael Mitchell 23 338 0 23 Mar 2019
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation Manish Kumar George F. Foster Colin Cherry M. Krikun 11 73 0 28 Feb 2019
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation Rui Wang Masao Utiyama Eiichiro Sumita 35 27 0 01 May 2018
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017