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Information Plane

To obtain the Information Plane (IP) of deep neural networks, which shows the trajectories of the hidden layers during training in a 2D plane using as coordinate axes the mutual information between the input and the hidden layer, and the mutual information between the output and the hidden layer.

Papers

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Showing 11–20 of 30 papers

TitleStatusHype
Information flows of diverse autoencodersCode0
Mutual information estimation for graph convolutional neural networks—0
On Information Plane Analyses of Neural Network Classifiers -- A Review—0
On Predictive Information Sub-optimality of RNNs—0
On Predictive Information in RNNs—0
On the Trajectory of Stochastic Gradient Descent in the Information Plane—0
REPRESENTATION COMPRESSION AND GENERALIZATION IN DEEP NEURAL NETWORKS—0
SoFaiR: Single Shot Fair Representation Learning—0
A Comparative Genomic Analysis of Coronavirus Families Using Chaos Game Representation and Fisher-Shannon Complexity—0
Understanding Autoencoders with Information Theoretic Concepts—0
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