2 citations · 3 across the 4 of their papers we have counts for
4 papers
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
Ikuro Sato, Kohta Ishikawa, Guoqing Liu +1
This study addresses an issue of co-adaptation between a feature extractor and a classifier in a neural network. A naive joint optimization of a feature extractor and a classifier…
Intentional Attention Mask Transformation for Robust CNN Classification
Masanari Kimura, Masayuki Tanaka
Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Masanari Kimura, Masayuki Tanaka
Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…
Network Analysis for Explanation
Hiroshi Kuwajima, Masayuki Tanaka
Safety critical systems strongly require the quality aspects of artificial intelligence including explainability. In this paper, we analyzed a trained network to extract features w…