Generalizing the Convolution Operator in Convolutional Neural Networks

14 July 2017

Papers citing "Generalizing the Convolution Operator in Convolutional Neural Networks"

5 / 5 papers shown

Title
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations S. Saralajew Ashish Rana T. Villmann Ammar Shaker OOD 87 1 0 20 Dec 2024
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 39 85 0 20 May 2022
PowerLinear Activation Functions with application to the first layer of CNNs Kamyar Nasiri Kamaledin Ghiasi-Shirazi 11 0 0 20 Aug 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 80 262 0 03 Dec 2020
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 41 1,156 0 27 Jun 2018