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Rethinking Attention with Performers

Rethinking Attention with Performers

30 September 2020
K. Choromanski
Valerii Likhosherstov
David Dohan
Xingyou Song
Andreea Gane
Tamás Sarlós
Peter Hawkins
Jared Davis
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy J. Colwell
Adrian Weller
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Papers citing "Rethinking Attention with Performers"

14 / 1,014 papers shown
Title
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1
  Convolutions
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
Hao Chen
Chunhua Shen
Zhi Tian
ISeg
13
2
0
19 Nov 2020
End-to-End Object Detection with Adaptive Clustering Transformer
End-to-End Object Detection with Adaptive Clustering Transformer
Minghang Zheng
Peng Gao
Renrui Zhang
Kunchang Li
Xiaogang Wang
Hongsheng Li
Hao Dong
ViT
24
193
0
18 Nov 2020
Efficient End-to-End Speech Recognition Using Performers in Conformers
Peidong Wang
DeLiang Wang
25
3
0
09 Nov 2020
Long Range Arena: A Benchmark for Efficient Transformers
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay
Mostafa Dehghani
Samira Abnar
Songlin Yang
Dara Bahri
Philip Pham
J. Rao
Liu Yang
Sebastian Ruder
Donald Metzler
41
693
0
08 Nov 2020
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
10
4
0
03 Nov 2020
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime
  with Search
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search
Gyuwan Kim
Kyunghyun Cho
37
92
0
14 Oct 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
109
1,102
0
14 Sep 2020
Implicit Kernel Attention
Implicit Kernel Attention
Kyungwoo Song
Yohan Jung
Dongjun Kim
Il-Chul Moon
8
16
0
11 Jun 2020
Deep Learning: Our Miraculous Year 1990-1991
Deep Learning: Our Miraculous Year 1990-1991
J. Schmidhuber
3DGS
MedIm
14
6
0
12 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
44
172
0
23 Apr 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
252
580
0
12 Mar 2020
CBAG: Conditional Biomedical Abstract Generation
CBAG: Conditional Biomedical Abstract Generation
Justin Sybrandt
Ilya Safro
MedIm
AI4CE
14
8
0
13 Feb 2020
An Attentive Survey of Attention Models
An Attentive Survey of Attention Models
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
30
640
0
05 Apr 2019
Faster Neural Network Training with Approximate Tensor Operations
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman
Kfir Y. Levy
Ido Hakimi
M. Silberstein
29
26
0
21 May 2018
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