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"

22 / 22 papers shown

Title
A Systematic Review of Deep Learning-based Research on Radiology Report Generation Chang Liu Yuanhe Tian Yan Song MedIm 34 15 0 23 Nov 2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning Huanzhang Dou Pengyi Zhang Yuhan Zhao Lin Dong Zequn Qin Xi Li CVBM VLM 30 24 0 06 Jun 2023
Token-Level Fitting Issues of Seq2seq Models Guangsheng Bao Zhiyang Teng Yue Zhang 24 0 0 08 May 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 31 0 0 29 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
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation Maha Elbayad Anna Y. Sun Shruti Bhosale MoE 54 8 0 15 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 27 24 0 07 Dec 2022
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 Yutao Zhu J. Nie Yixuan Su Haonan Chen Xinyu Zhang Zhicheng Dou 20 11 0 22 Aug 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 25 131 0 24 Jun 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Improving Neural Machine Translation by Denoising Training Liang Ding Keqin Peng Dacheng Tao VLM AI4CE 41 6 0 19 Jan 2022
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 35 80 0 04 Dec 2021
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 Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 28 21 0 10 Jun 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 25 85 0 14 Apr 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation Runzhe Zhan Xuebo Liu Derek F. Wong Lidia S. Chao 35 46 0 03 Mar 2021
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
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
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation Rui Wang Masao Utiyama Eiichiro Sumita 32 27 0 01 May 2018
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017