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High-Level Parallelism and Nested Features for Dynamic Inference Cost
  and Top-Down Attention

High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention

9 August 2023
A. Kelm
Niels Hannemann
Bruno Heberle
Lucas Schmidt
Tim Rolff
Christian Wilms
Ehsan Yaghoubi
Simone Frintrop
ArXivPDFHTML

Papers citing "High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention"

2 / 2 papers shown
Title
Neural Networks are Decision Trees
Neural Networks are Decision Trees
Çağlar Aytekin
FAtt
32
24
0
11 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
1