Web: http://arxiv.org/abs/2106.02566

Sept. 16, 2022, 1:15 a.m. | Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère

cs.CV updates on arXiv.org arxiv.org

The prevalence of employing attention mechanisms has brought along concerns
on the interpretability of attention distributions. Although it provides
insights about how a model is operating, utilizing attention as the explanation
of model predictions is still highly dubious. The community is still seeking
more interpretable strategies for better identifying local active regions that
contribute the most to the final decision. To improve the interpretability of
existing attention models, we propose a novel Bilinear Representative
Non-Parametric Attention (BR-NPA) strategy that captures …

arxiv attention interpretability non-parametric parametric

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