Information Plane

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Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Opening the Black Box of Deep Neural Networks via Information
  2 Mar 2017 13 repositories listed Syntology ran 16 of 17 samples · 1 unverified · 11 pointer-only (licence)
  Previous work proposed to analyze DNNs in the \textit{Information Plane}; i.
• Cauchy-Schwarz Divergence Information Bottleneck for Regression
  27 Apr 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  The information bottleneck (IB) approach is popular to improve the generalization, robustness and explainability of deep neural networks.
• End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
  14 Feb 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  End-to-end (E2E) training, optimizing the entire model through error backpropagation, fundamentally supports the advancements of deep learning.
• HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
  22 Feb 2022 1 repository listed
  Even after pruning the filters from convolutional layers of LeNet-5 drastically (i.
• Information flows of diverse autoencoders
  15 Feb 2021 1 repository listed
  Thus, we conclude that the compression phase is not necessary for generalization in representation learning.
• A Provably Convergent Information Bottleneck Solution via ADMM
  9 Feb 2021 1 repository listed
  Conventionally, it resorts to characterizing the information plane, that is, plotting I(Y;Z) versus I(X;Z) for all solutions obtained from different initial points.
• Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
  16 Sep 2020 1 repository listed
  Applying our results can serve to guide analysis methods for machine learning engineers and suggests that neural networks that can exploit the convolution theorem are equally accurate as standard convolutional neural…
• The Dual Information Bottleneck
  8 Jun 2020 1 repository listed
  The Information Bottleneck (IB) framework is a general characterization of optimal representations obtained using a principled approach for balancing accuracy and complexity.
• On the Information Plane of Autoencoders
  15 May 2020 1 repository listed
  Recently, the Information Plane (IP) was proposed to analyze them, which is based on the information-theoretic concept of mutual information (MI).
• Scalable Mutual Information Estimation using Dependence Graphs
  27 Jan 2018 1 repository listed
  To the best of our knowledge EDGE is the first non-parametric MI estimator that can achieve parametric MSE rates with linear time complexity.
• On the Information Bottleneck Theory of Deep Learning
  1 Jan 2018 1 repository listed
  The practical successes of deep neural networks have not been matched by theoretical progress that satisfyingly explains their behavior.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.