Deeply Explain CNN via Hierarchical Decomposition

Deeply Explain CNN via Hierarchical Decomposition

23 January 2022

Mingg-Ming Cheng

Liang Wang

Philip H. S. Torr

Papers citing "Deeply Explain CNN via Hierarchical Decomposition"

4 / 4 papers shown

Title
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 45 17 0 30 Dec 2022
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 55 33 0 03 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 286 10,613 0 19 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 284 5,835 0 08 Jul 2016