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BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the
  Interpretability of Attention
v1v2v3v4v5v6 (latest)

BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention

Pattern Recognition (Pattern Recogn.), 2021
4 June 2021
T. Gomez
Suiyi Ling
Thomas Fréour
Harold Mouchère
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention"

2 / 2 papers shown
Leveraging Reward Consistency for Interpretable Feature Discovery in
  Reinforcement Learning
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
Qisen Yang
Huanqian Wang
Mukun Tong
Wenjie Shi
Gao Huang
Shiji Song
308
6
0
04 Sep 2023
Comparison of attention models and post-hoc explanation methods for
  embryo stage identification: a case study
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
T. Gomez
Thomas Fréour
Harold Mouchère
222
3
0
13 May 2022
1
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