6 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
Tristan Gomez, Thomas Fréour, Harold Mouchère
An important limitation to the development of AI-based solutions for In Vitro Fertilization (IVF) is the black-box nature of most state-of-the-art models, due to the complexity of…
Metrics for saliency map evaluation of deep learning explanation methods
Tristan Gomez, Thomas Fréour, Harold Mouchère
Due to the black-box nature of deep learning models, there is a recent development of solutions for visual explanations of CNNs. Given the high cost of user studies, metrics are ne…
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
Tristan Gomez, Suiyi Ling, Thomas Fréour +1
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 o…