Curriculum Learning for Domain Adaptation in Neural Machine Translation

14 May 2019

Papers citing "Curriculum Learning for Domain Adaptation in Neural Machine Translation"

32 / 32 papers shown

Title
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization Mengyang Li Zhong Zhang 29 0 0 10 Apr 2025
Using Weak Supervision and Data Augmentation in Question Answering Chumki Basu Binyuan Hui Allen McIntosh Wei Wang J. Wullert OOD 52 0 0 28 Sep 2023
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation Wen Lai Alexandra Chronopoulou Alexander Fraser 40 5 0 22 May 2023
CiT: Curation in Training for Effective Vision-Language Data Hu Xu Saining Xie Po-Yao (Bernie) Huang Licheng Yu Russ Howes Gargi Ghosh Luke Zettlemoyer Christoph Feichtenhofer VLM DiffM 33 25 0 05 Jan 2023
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
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 36 1 0 22 Dec 2022
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 32 25 0 07 Dec 2022
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation Qi Jia Yizhu Liu Haifeng Tang Kenny Q. Zhu ELM SyDa LRM 37 4 0 21 Nov 2022
Progressive Sentiment Analysis for Code-Switched Text Data Sudhanshu Ranjan Dheeraj Mekala Jingbo Shang 34 4 0 25 Oct 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 58 3 0 22 Oct 2022
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 38 109 0 31 Aug 2022
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation Virginia Adams Sandeep Subramanian Mike Chrzanowski Oleksii Hrinchuk Oleksii Kuchaiev 33 2 0 02 Jun 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Improving Both Domain Robustness and Domain Adaptability in Machine Translation Wen Lai Jindrich Libovický Alexander Fraser AI4CE 37 14 0 15 Dec 2021
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21 Sandeep Subramanian Oleksii Hrinchuk Virginia Adams Oleksii Kuchaiev VLM 27 16 0 16 Nov 2021
Curriculum learning for language modeling Daniel Fernando Campos 16 32 0 04 Aug 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 27 25 0 15 Jun 2021
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 36 21 0 10 Jun 2021
Prevent the Language Model from being Overconfident in Neural Machine Translation Mengqi Miao Fandong Meng Yijin Liu Xiao-Hua Zhou Jie Zhou 34 40 0 24 May 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 34 86 0 14 Apr 2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation Shuhao Gu Yang Feng Wanying Xie CLL AI4CE 25 27 0 25 Mar 2021
Token-wise Curriculum Learning for Neural Machine Translation Chen Liang Haoming Jiang Xiaodong Liu Pengcheng He Weizhu Chen Jianfeng Gao T. Zhao 34 4 0 20 Mar 2021
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
Gradual Fine-Tuning for Low-Resource Domain Adaptation Haoran Xu Seth Ebner M. Yarmohammadi A. White Benjamin Van Durme Kenton W. Murray CLL 22 39 0 03 Mar 2021
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task Dmitry Tsarkov Tibor Tihon Nathan Scales Nikola Momchev Danila Sinopalnikov Nathanael Scharli 18 17 0 15 Dec 2020
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task Alexandra Chronopoulou Dario Stojanovski Viktor Hangya Alexander Fraser 37 5 0 25 Oct 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Dynamic Data Selection and Weighting for Iterative Back-Translation Zi-Yi Dou Antonios Anastasopoulos Graham Neubig 24 50 0 07 Apr 2020
Unsupervised Domain Clusters in Pretrained Language Models Roee Aharoni Yoav Goldberg 37 244 0 05 Apr 2020
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation Wei Wang Isaac Caswell Ciprian Chelba 33 57 0 03 Jun 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 227 1,211 0 12 Jun 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015