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Learning what and where to attend

Learning what and where to attend

22 May 2018
Drew Linsley
Dan Scheibler
S. Eberhardt
Thomas Serre
ArXivPDFHTML

Papers citing "Learning what and where to attend"

6 / 6 papers shown
Title
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
24
0
0
20 Nov 2023
Understanding the computational demands underlying visual reasoning
Understanding the computational demands underlying visual reasoning
Mohit Vaishnav
Rémi Cadène
A. Alamia
Drew Linsley
Rufin VanRullen
Thomas Serre
GNN
CoGe
32
16
0
08 Aug 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Sudhakar Kumawat
Gagan Kanojia
S. Raman
6
5
0
17 Jun 2021
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
18
25
0
10 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
S. Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
13
6,106
0
22 Oct 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
19
1,000
0
22 Apr 2019
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