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Improve Transformer Models with Better Relative Position Embeddings

Improve Transformer Models with Better Relative Position Embeddings

28 September 2020
Zhiheng Huang
Davis Liang
Peng Xu
Bing Xiang
    ViT
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Papers citing "Improve Transformer Models with Better Relative Position Embeddings"

11 / 61 papers shown
Title
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
Yi-Hui Chou
I-Chun Chen
Chin-Jui Chang
Joann Ching
Yi-Hsuan Yang
40
25
0
12 Jul 2021
Convolutions and Self-Attention: Re-interpreting Relative Positions in
  Pre-trained Language Models
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models
Tyler A. Chang
Yifan Xu
Weijian Xu
Zhuowen Tu
ViT
29
15
0
10 Jun 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional
  Embeddings
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Tatiana Likhomanenko
Qiantong Xu
Gabriel Synnaeve
R. Collobert
A. Rogozhnikov
OOD
ViT
33
55
0
06 Jun 2021
Relative Positional Encoding for Transformers with Linear Complexity
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus
Ondřej Cífka
Shih-Lun Wu
Umut Simsekli
Yi-Hsuan Yang
Gaël Richard
38
45
0
18 May 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
46
2,190
0
20 Apr 2021
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
Alireza Mohammadshahi
James Henderson
31
12
0
15 Apr 2021
Symbolic integration by integrating learning models with different
  strengths and weaknesses
Symbolic integration by integrating learning models with different strengths and weaknesses
Hazumi Kubota
Y. Tokuoka
Takahiro G. Yamada
Akira Funahashi
AIMat
28
4
0
09 Mar 2021
Investigating the Limitations of Transformers with Simple Arithmetic
  Tasks
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Li
LRM
24
123
0
25 Feb 2021
Position Information in Transformers: An Overview
Position Information in Transformers: An Overview
Philipp Dufter
Martin Schmitt
Hinrich Schütze
13
139
0
22 Feb 2021
FLERT: Document-Level Features for Named Entity Recognition
FLERT: Document-Level Features for Named Entity Recognition
Stefan Schweter
Alan Akbik
22
111
0
13 Nov 2020
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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