Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
M Sacha, B Jura, D Rymarczyk, Ł Struski… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
[PDF][PDF] Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
M Sacha, B Jura, D Rymarczyk, Ł Struski, J Tabor… - 2024 - researchgate.net
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
M Sacha, B Jura, D Rymarczyk, Ł Struski… - arXiv preprint arXiv …, 2023 - arxiv.org
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
[HTML][HTML] Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations
M Sacha, B Jura, D Rymarczyk, Ł Struski… - Proceedings of the …, 2024 - ruj.uj.edu.pl
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
M Sacha, B Jura, D Rymarczyk, L Struski, J Tabor… - AAAI, 2024 - openreview.net
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …
[HTML][HTML] Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations
M Sacha, B Jura, D Rymarczyk, Ł Struski… - Proceedings of the …, 2024 - ruj.uj.edu.pl
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …
self-explanations. However, their similarity maps are calculated in the penultimate network …