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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 1–25 of 30 papers

TitleStatusHype
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
Information plane and compression-gnostic feedback in quantum machine learning—0
Enhancing Neural Network Interpretability Through Conductance-Based Information Plane Analysis—0
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression—0
Information Plane Analysis Visualization in Deep Learning via Transfer Entropy—0
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise TrainingCode0
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training—0
SoFaiR: Single Shot Fair Representation Learning—0
Mutual information estimation for graph convolutional neural networks—0
HRel: Filter Pruning based on High Relevance between Activation Maps and Class LabelsCode0
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
Information Plane Analysis of Deep Neural Networks via Matrix--Based Renyi's Entropy and Tensor Kernels—0
On Predictive Information Sub-optimality of RNNs—0
On the Trajectory of Stochastic Gradient Descent in the Information Plane—0
REPRESENTATION COMPRESSION AND GENERALIZATION IN DEEP NEURAL NETWORKS—0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane—0
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