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AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

21 June 2020
Yong Cheng
Lu Jiang
Wolfgang Macherey
Jacob Eisenstein
ArXivPDFHTML

Papers citing "AdvAug: Robust Adversarial Augmentation for Neural Machine Translation"

22 / 22 papers shown
Title
Deterministic Reversible Data Augmentation for Neural Machine Translation
Deterministic Reversible Data Augmentation for Neural Machine Translation
Jiashu Yao
Heyan Huang
Zeming Liu
Yuhang Guo
49
0
0
21 Feb 2025
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Aaqib Saeed
Dimitris Spathis
Jungwoo Oh
Edward Choi
Ali Etemad
NoLa
19
2
0
25 Jan 2024
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
27
2
0
29 Aug 2023
Layer-wise Representation Fusion for Compositional Generalization
Layer-wise Representation Fusion for Compositional Generalization
Yafang Zheng
Lei Lin
Shantao Liu
Binling Wang
Zhaohong Lai
Wenhao Rao
Biao Fu
Yidong Chen
Xiaodon Shi
AI4CE
34
2
0
20 Jul 2023
Semi-supervised Relation Extraction via Data Augmentation and
  Consistency-training
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
35
5
0
16 Jun 2023
Learning to Compose Representations of Different Encoder Layers towards
  Improving Compositional Generalization
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin
Shuangtao Li
Yafang Zheng
Biao Fu
Shantao Liu
Yidong Chen
Xiaodon Shi
CoGe
25
2
0
20 May 2023
TransFool: An Adversarial Attack against Neural Machine Translation
  Models
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
SILM
AAML
31
12
0
02 Feb 2023
Breaking the Representation Bottleneck of Chinese Characters: Neural
  Machine Translation with Stroke Sequence Modeling
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Zhijun Wang
Xuebo Liu
Min Zhang
25
11
0
23 Nov 2022
Categorizing Semantic Representations for Neural Machine Translation
Categorizing Semantic Representations for Neural Machine Translation
Yongjing Yin
Yafu Li
Fandong Meng
Jie Zhou
Yue Zhang
16
6
0
13 Oct 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
10
12
0
12 Sep 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
31
24
0
12 May 2022
Learning to Generalize to More: Continuous Semantic Augmentation for
  Neural Machine Translation
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei
Heng Yu
Yue Hu
Rongxiang Weng
Weihua Luo
Jun Xie
Rong Jin
CLL
15
24
0
14 Apr 2022
Pyramid Adversarial Training Improves ViT Performance
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
20
56
0
30 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
121
270
0
05 Oct 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
S. Clinchant
AAML
19
0
0
01 Sep 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Mohit Bansal
Diyi Yang
26
172
0
14 Jun 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
35
799
0
07 May 2021
Addressing the Vulnerability of NMT in Input Perturbations
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu
A. Aw
Yang Ding
Kui Wu
Shafiq R. Joty
AAML
21
10
0
20 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
22
142
0
07 Apr 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi
Lu Hou
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
10
19
0
16 Mar 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools
Neural Machine Translation: A Review of Methods, Resources, and Tools
Zhixing Tan
Shuo Wang
Zonghan Yang
Gang Chen
Xuancheng Huang
Maosong Sun
Yang Liu
3DV
AI4TS
13
105
0
31 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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