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Assessing the Bilingual Knowledge Learned by Neural Machine Translation
  Models

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models

28 April 2020
Shilin He
Xing Wang
Shuming Shi
M. Lyu
Zhaopeng Tu
ArXivPDFHTML

Papers citing "Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models"

5 / 5 papers shown
Title
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
25
65
0
19 Jan 2022
Embedding Principle: a hierarchical structure of loss landscape of deep
  neural networks
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Yaoyu Zhang
Yuqing Li
Zhongwang Zhang
Tao Luo
Z. Xu
15
21
0
30 Nov 2021
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
190
181
0
03 Sep 2019
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
224
201
0
06 Jul 2017
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