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Evolving Attention with Residual Convolutions

Evolving Attention with Residual Convolutions

20 February 2021
Yujing Wang
Yaming Yang
Jiangang Bai
Mingliang Zhang
Jing Bai
Jiahao Yu
Ce Zhang
Gao Huang
Yunhai Tong
    ViT
ArXivPDFHTML

Papers citing "Evolving Attention with Residual Convolutions"

27 / 27 papers shown
Title
RealFormer: Transformer Likes Residual Attention
RealFormer: Transformer Likes Residual Attention
Ruining He
Anirudh Ravula
Bhargav Kanagal
Joshua Ainslie
36
108
0
21 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
307
40,217
0
22 Oct 2020
Synthesizer: Rethinking Self-Attention in Transformer Models
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay
Dara Bahri
Donald Metzler
Da-Cheng Juan
Zhe Zhao
Che Zheng
39
334
0
02 May 2020
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
Zhanghao Wu
Zhijian Liu
Ji Lin
Chengyue Wu
Song Han
49
321
0
24 Apr 2020
Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
Nikita Kitaev
Lukasz Kaiser
Anselm Levskaya
VLM
143
2,279
0
13 Jan 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung
Sarthak Jain
Nazneen Rajani
Eric P. Lehman
Caiming Xiong
R. Socher
Byron C. Wallace
80
632
0
08 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
254
19,824
0
23 Oct 2019
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
40
901
0
13 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
387
24,160
0
26 Jul 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
51
1,398
0
29 Jun 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLM
SLR
ViT
57
1,208
0
13 Jun 2019
Adaptive Attention Span in Transformers
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar
Edouard Grave
Piotr Bojanowski
Armand Joulin
52
285
0
19 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
121
1,008
0
22 Apr 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
87
1,307
0
26 Feb 2019
The Evolved Transformer
The Evolved Transformer
David R. So
Chen Liang
Quoc V. Le
ViT
74
461
0
30 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
870
93,936
0
11 Oct 2018
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation
  Architectures
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang
Mathias Müller
Annette Rios Gonzales
Rico Sennrich
32
263
0
27 Aug 2018
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
574
7,080
0
20 Apr 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
108
2,269
0
06 Mar 2018
Image Transformer
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
82
1,671
0
15 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
422
129,831
0
12 Jun 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
120
3,279
0
08 May 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
607
36,599
0
25 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
478
16,765
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
416
27,231
0
02 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
678
149,474
0
22 Dec 2014
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