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Multi-branch Attentive Transformer

Multi-branch Attentive Transformer

18 June 2020
Yang Fan
Shufang Xie
Yingce Xia
Lijun Wu
Tao Qin
Xiang-Yang Li
Tie-Yan Liu
ArXivPDFHTML

Papers citing "Multi-branch Attentive Transformer"

10 / 10 papers shown
Title
TranSFormer: Slow-Fast Transformer for Machine Translation
TranSFormer: Slow-Fast Transformer for Machine Translation
Bei Li
Yi Jing
Xu Tan
Zhen Xing
Tong Xiao
Jingbo Zhu
41
7
0
26 May 2023
Multi-Path Transformer is Better: A Case Study on Neural Machine
  Translation
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation
Ye Lin
Shuhan Zhou
Yanyang Li
Anxiang Ma
Tong Xiao
Jingbo Zhu
30
0
0
10 May 2023
CipherDAug: Ciphertext based Data Augmentation for Neural Machine
  Translation
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation
Nishant Kambhatla
Logan Born
Anoop Sarkar
13
16
0
01 Apr 2022
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural
  Machine Translation
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
Haoran Xu
Benjamin Van Durme
Kenton W. Murray
47
57
0
09 Sep 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without
  Extra Cost
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Zhen Wu
Lijun Wu
Qi Meng
Yingce Xia
Shufang Xie
Tao Qin
Xinyu Dai
Tie-Yan Liu
10
22
0
11 Apr 2021
A Simple but Tough-to-Beat Data Augmentation Approach for Natural
  Language Understanding and Generation
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Dinghan Shen
Ming Zheng
Yelong Shen
Yanru Qu
Weizhu Chen
AAML
21
130
0
29 Sep 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
50
185
0
14 Nov 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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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