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DYAD: A Descriptive Yet Abjuring Density efficient approximation to
  linear neural network layers

DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers

11 December 2023
S. Chandy
Varun Gangal
Yi Yang
Gabriel Maggiotti
ArXivPDFHTML

Papers citing "DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers"

2 / 2 papers shown
Title
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
979
0
27 Jan 2021
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
6,956
0
20 Apr 2018
1