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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
A Comparative Genomic Analysis of Coronavirus Families Using Chaos Game Representation and Fisher-Shannon Complexity—0
Information flows of diverse autoencodersCode0
A Provably Convergent Information Bottleneck Solution via ADMMCode0
Fundamental Limits and Tradeoffs in Invariant Representation Learning—0
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic ViewCode0
The Dual Information BottleneckCode0
On the Information Plane of AutoencodersCode0
On Information Plane Analyses of Neural Network Classifiers -- A Review—0
On Predictive Information in RNNs—0
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels—0
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