431 citations · 443 across the 2 of their papers we have counts for
3 papers
Covariance in Physics and Convolutional Neural Networks
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler +3
In this proceeding we give an overview of the idea of covariance (or equivariance) featured in the recent development of convolutional neural networks (CNNs). We study the similari…
Teacher-Student Curriculum Learning
Tambet Matiisen, Avital Oliver, Taco Cohen +1
We propose Teacher-Student Curriculum Learning (TSCL), a framework for automatic curriculum learning, where the Student tries to learn a complex task and the Teacher automatically…
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
Luisa M Zintgraf, Taco S Cohen, Tameem Adel +1
This article presents the prediction difference analysis method for visualizing the response of a deep neural network to a specific input. When classifying images, the method highl…