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FAVOR#: Sharp Attention Kernel Approximations via New Classes of
  Positive Random Features

FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features

1 February 2023
Valerii Likhosherstov
K. Choromanski
Kumar Avinava Dubey
Frederick Liu
Tamás Sarlós
Adrian Weller
ArXiv (abs)PDFHTMLGithub (35370★)

Papers citing "FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features"

3 / 3 papers shown
All Random Features Representations are Equivalent
All Random Features Representations are Equivalent
Luke Sernau
Silvano Bonacina
Rif A. Saurous
230
2
0
27 Jun 2024
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust
  Attention
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust AttentionIEEE International Conference on Robotics and Automation (ICRA), 2023
Isabel Leal
Krzysztof Choromanski
Deepali Jain
Kumar Avinava Dubey
Jake Varley
...
Q. Vuong
Tamás Sarlós
Kenneth Oslund
Karol Hausman
Kanishka Rao
285
23
0
04 Dec 2023
Scalable Neural Network Kernels
Scalable Neural Network Kernels
Arijit Sehanobish
Krzysztof Choromanski
Yunfan Zhao
Kumar Avinava Dubey
Valerii Likhosherstov
365
9
0
20 Oct 2023
1
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