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Convolutional Sequence to Sequence Learning
v1v2v3 (latest)

Convolutional Sequence to Sequence Learning

8 May 2017
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
    AIMat
ArXiv (abs)PDFHTML

Papers citing "Convolutional Sequence to Sequence Learning"

50 / 1,328 papers shown
Title
Using Whole Document Context in Neural Machine Translation
Using Whole Document Context in Neural Machine Translation
Valentin Macé
Christophe Servan
58
27
0
16 Oct 2019
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT
  2019 Efficiency Task
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task
Kenton W. Murray
Brian DuSell
David Chiang
18
2
0
16 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
106
15
0
11 Oct 2019
On the adequacy of untuned warmup for adaptive optimization
On the adequacy of untuned warmup for adaptive optimization
Jerry Ma
Denis Yarats
106
70
0
09 Oct 2019
An Interactive Machine Translation Framework for Modernizing Historical
  Documents
An Interactive Machine Translation Framework for Modernizing Historical Documents
Miguel Domingo
F. Casacuberta
26
0
0
08 Oct 2019
One-To-Many Multilingual End-to-end Speech Translation
One-To-Many Multilingual End-to-end Speech Translation
Mattia Antonino Di Gangi
Matteo Negri
Marco Turchi
89
51
0
08 Oct 2019
Improving Neural Machine Translation Robustness via Data Augmentation:
  Beyond Back Translation
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation
Zhenhao Li
Lucia Specia
58
40
0
07 Oct 2019
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
Ning Lu
Wenwen Yu
Xianbiao Qi
Yihao Chen
Ping Gong
Rong Xiao
Xiang Bai
70
158
0
07 Oct 2019
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and
  Performance for Low-Resource Machine Translation
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation
Kenton W. Murray
Jeffery Kinnison
Toan Q. Nguyen
Walter J. Scheirer
David Chiang
63
21
0
01 Oct 2019
Application of Low-resource Machine Translation Techniques to
  Russian-Tatar Language Pair
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair
Aidar Valeev
I. Gibadullin
A. Khusainova
Adil Khan
VLM
40
11
0
01 Oct 2019
META$^\mathbf{2}$: Memory-efficient taxonomic classification and
  abundance estimation for metagenomics with deep learning
META2^\mathbf{2}2: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning
Andreas Georgiou
Vincent Fortuin
Harun Mustafa
Gunnar Rätsch
30
6
0
28 Sep 2019
On the Importance of Subword Information for Morphological Tasks in
  Truly Low-Resource Languages
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages
Yi Zhu
Benjamin Heinzerling
Ivan Vulić
Michael Strube
Roi Reichart
Anna Korhonen
65
20
0
26 Sep 2019
Large-scale Pretraining for Neural Machine Translation with Tens of
  Billions of Sentence Pairs
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
Yuxian Meng
Xiangyuan Ren
Zijun Sun
Xiaoya Li
Arianna Yuan
Leilei Gan
Jiwei Li
AIMatAI4CE
62
8
0
26 Sep 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
60
212
0
25 Sep 2019
Efficiently Reusing Old Models Across Languages via Transfer Learning
Efficiently Reusing Old Models Across Languages via Transfer Learning
Tom Kocmi
Ondrej Bojar
38
6
0
24 Sep 2019
In Conclusion Not Repetition: Comprehensive Abstractive Summarization
  With Diversified Attention Based On Determinantal Point Processes
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Lei Li
Wei Liu
Marina Litvak
N. Vanetik
Zuying Huang
46
12
0
24 Sep 2019
Do Massively Pretrained Language Models Make Better Storytellers?
Do Massively Pretrained Language Models Make Better Storytellers?
A. See
Aneesh S. Pappu
Rohun Saxena
Akhila Yerukola
Christopher D. Manning
111
169
0
24 Sep 2019
Using Statistics to Automate Stochastic Optimization
Using Statistics to Automate Stochastic Optimization
Hunter Lang
Pengchuan Zhang
Lin Xiao
86
22
0
21 Sep 2019
Self-attention based end-to-end Hindi-English Neural Machine Translation
Self-attention based end-to-end Hindi-English Neural Machine Translation
Siddhant Srivastava
Ritu Tiwari
21
2
0
21 Sep 2019
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding
  for Task-Oriented Chatbots
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Arshit Gupta
Peng Zhang
Garima Lalwani
Mona T. Diab
62
34
0
18 Sep 2019
Global Autoregressive Models for Data-Efficient Sequence Learning
Global Autoregressive Models for Data-Efficient Sequence Learning
Tetiana Parshakova
J. Andreoli
Marc Dymetman
68
23
0
16 Sep 2019
Temporal FiLM: Capturing Long-Range Sequence Dependencies with
  Feature-Wise Modulations
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations
Sawyer Birnbaum
Volodymyr Kuleshov
S. Enam
Pang Wei Koh
Stefano Ermon
AI4TS
84
70
0
14 Sep 2019
A Universal Parent Model for Low-Resource Neural Machine Translation
  Transfer
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
Mozhdeh Gheini
Jonathan May
51
22
0
14 Sep 2019
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
Size Zheng
Yixin Bao
Yangrui Chen
Chuan Wu
Chen Meng
Wei Lin
56
85
0
13 Sep 2019
From English to Code-Switching: Transfer Learning with Strong
  Morphological Clues
From English to Code-Switching: Transfer Learning with Strong Morphological Clues
Gustavo Aguilar
Thamar Solorio
76
39
0
11 Sep 2019
Self-Attentional Models Application in Task-Oriented Dialogue Generation
  Systems
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
Mansour Saffar Mehrjardi
Amine Trabelsi
Osmar R. Zaiane
LRM
15
5
0
11 Sep 2019
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
295
222
0
07 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated
  Temporal Information
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
AAML
85
29
0
06 Sep 2019
Table-to-Text Generation with Effective Hierarchical Encoder on Three
  Dimensions (Row, Column and Time)
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
Heng Gong
Xiaocheng Feng
Bing Qin
Ting Liu
LMTD
73
58
0
05 Sep 2019
Source Dependency-Aware Transformer with Supervised Self-Attention
Source Dependency-Aware Transformer with Supervised Self-Attention
Chengyi Wang
Shuangzhi Wu
Shujie Liu
41
5
0
05 Sep 2019
Distributionally Robust Language Modeling
Distributionally Robust Language Modeling
Yonatan Oren
Shiori Sagawa
Tatsunori B. Hashimoto
Percy Liang
OOD
95
177
0
04 Sep 2019
Multi-agent Learning for Neural Machine Translation
Multi-agent Learning for Neural Machine Translation
Tianchi Bi
Hao Xiong
Zhongjun He
Hua Wu
Haifeng Wang
AI4CE
53
12
0
03 Sep 2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne
Karthikeyan K
Chinnadhurai Sankar
Arvind Neelakantan
Daniel Duckworth
Semih Yavuz
Ben Goodrich
Amit Dubey
A. Cedilnik
Kyu-Young Kim
67
219
0
01 Sep 2019
A Discriminative Neural Model for Cross-Lingual Word Alignment
A Discriminative Neural Model for Cross-Lingual Word Alignment
Elias Stengel-Eskin
Tzu-Ray Su
Matt Post
Benjamin Van Durme
44
33
0
01 Sep 2019
One Model to Learn Both: Zero Pronoun Prediction and Translation
One Model to Learn Both: Zero Pronoun Prediction and Translation
Longyue Wang
Zhaopeng Tu
Xing Wang
Shuming Shi
62
25
0
01 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance
Towards Understanding Neural Machine Translation with Word Importance
Shilin He
Zhaopeng Tu
Xing Wang
Longyue Wang
Michael R. Lyu
Shuming Shi
AAML
129
40
0
01 Sep 2019
Improving Multi-Head Attention with Capsule Networks
Improving Multi-Head Attention with Capsule Networks
Shuhao Gu
Yang Feng
47
13
0
31 Aug 2019
Adaptively Sparse Transformers
Adaptively Sparse Transformers
Gonçalo M. Correia
Vlad Niculae
André F. T. Martins
141
257
0
30 Aug 2019
Reflective Decoding Network for Image Captioning
Reflective Decoding Network for Image Captioning
Lei Ke
Wenjie Pei
Ruiyu Li
Xiaoyong Shen
Yu-Wing Tai
ObjD
62
94
0
30 Aug 2019
Latent Part-of-Speech Sequences for Neural Machine Translation
Latent Part-of-Speech Sequences for Neural Machine Translation
Xuewen Yang
Yingru Liu
Dongliang Xie
Xin Wang
Niranjan Balasubramanian
66
16
0
30 Aug 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged
  Attention
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Biao Zhang
Ivan Titov
Rico Sennrich
64
104
0
29 Aug 2019
Regularized Context Gates on Transformer for Machine Translation
Regularized Context Gates on Transformer for Machine Translation
Xintong Li
Lemao Liu
Rui Wang
Guoping Huang
M. Meng
91
4
0
29 Aug 2019
Unsupervised Domain Adaptation for Neural Machine Translation with
  Domain-Aware Feature Embeddings
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
Zi-Yi Dou
Junjie Hu
Antonios Anastasopoulos
Graham Neubig
38
31
0
27 Aug 2019
Multiresolution Transformer Networks: Recurrence is Not Essential for
  Modeling Hierarchical Structure
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
Vikas Garg
Inderjit S. Dhillon
Hsiang-Fu Yu
59
7
0
27 Aug 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for
  Reconstruction of Reproductive Hormonal Dynamics
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
Iñigo Urteaga
Tristan Bertin
Theresa M. Hardy
D. Albers
Noémie Elhadad
AI4TSAI4CE
20
5
0
27 Aug 2019
Relation Distillation Networks for Video Object Detection
Relation Distillation Networks for Video Object Detection
Jiajun Deng
Yingwei Pan
Ting Yao
Wen-gang Zhou
Houqiang Li
Tao Mei
ObjD
169
192
0
26 Aug 2019
Efficient Bidirectional Neural Machine Translation
Efficient Bidirectional Neural Machine Translation
Xu Tan
Yingce Xia
Lijun Wu
Tao Qin
63
3
0
25 Aug 2019
Multilingual Neural Machine Translation with Language Clustering
Multilingual Neural Machine Translation with Language Clustering
Xu Tan
Jiale Chen
Di He
Yingce Xia
Tao Qin
Tie-Yan Liu
232
113
0
25 Aug 2019
Deep Learning Based Chatbot Models
Deep Learning Based Chatbot Models
Richard Csaky
72
46
0
23 Aug 2019
Reference Network for Neural Machine Translation
Reference Network for Neural Machine Translation
Han Fu
Chenghao Liu
Jianling Sun
28
1
0
23 Aug 2019
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