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Token Drop mechanism for Neural Machine Translation

Token Drop mechanism for Neural Machine Translation

21 October 2020
Huaao Zhang
Shigui Qiu
Xiangyu Duan
Min Zhang
ArXivPDFHTML

Papers citing "Token Drop mechanism for Neural Machine Translation"

5 / 5 papers shown
Title
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine
  Translation through Phrase Pair Variables
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Ali Araabi
Vlad Niculae
Christof Monz
57
1
0
24 Jul 2023
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yong Li
Weizhi Ma
C. L. Philip Chen
Hao Fei
Yiqun Liu
Shaoping Ma
Yue Yang
37
9
0
05 Apr 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine
  Translation
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation
Nishant Kambhatla
Logan Born
Anoop Sarkar
21
16
0
01 Apr 2022
Rethinking Data Augmentation for Low-Resource Neural Machine
  Translation: A Multi-Task Learning Approach
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
Víctor M. Sánchez-Cartagena
M. Esplà-Gomis
Juan Antonio Pérez-Ortiz
Felipe Sánchez-Martínez
45
27
0
08 Sep 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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