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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
ArXivPDFHTML

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

4 / 4 papers shown
Title
All Random Features Representations are Equivalent
All Random Features Representations are Equivalent
Luke Sernau
Silvano Bonacina
Rif A. Saurous
24
0
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 Attention
Isabel Leal
Krzysztof Choromanski
Deepali Jain
Kumar Avinava Dubey
Jake Varley
...
Q. Vuong
Tamás Sarlós
Kenneth Oslund
Karol Hausman
Kanishka Rao
44
8
0
04 Dec 2023
Scalable Neural Network Kernels
Scalable Neural Network Kernels
Arijit Sehanobish
Krzysztof Choromanski
Yunfan Zhao
Kumar Avinava Dubey
Valerii Likhosherstov
41
5
0
20 Oct 2023
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
6,984
0
20 Apr 2018
1