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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 1–10 of 30 papers

TitleStatusHype
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
Opening the Black Box of Deep Neural Networks via InformationCode0
On the Information Bottleneck Theory of Deep LearningCode0
A Provably Convergent Information Bottleneck Solution via ADMMCode0
On the Information Plane of AutoencodersCode0
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise TrainingCode0
Information flows of diverse autoencodersCode0
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic ViewCode0
HRel: Filter Pruning based on High Relevance between Activation Maps and Class LabelsCode0
Scalable Mutual Information Estimation using Dependence GraphsCode0
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