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B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

28 January 2025
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
ArXivPDFHTML

Papers citing "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable"

3 / 3 papers shown
Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
12
0
0
09 May 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
Hubert Baniecki
P. Biecek
AAML
68
0
0
11 Mar 2025
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Walid Bousselham
Angie Boggust
Sofian Chaybouti
Hendrik Strobelt
Hilde Kuehne
83
10
0
04 Apr 2024
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