{"url":"/task/information-plane","name":"Information Plane","slug":"information-plane","description_markdown":"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.","categories":[{"name":"Methodology","url":"/area/methodology"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":30,"papers_with_code":11,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":11,"of":11,"tagged_in_all":30,"items":[{"url":"/paper/opening-the-black-box-of-deep-neural-networks","title":"Opening the Black Box of Deep Neural Networks via Information","date":"2017-03-02","arxiv_id":"1703.00810","repositories_listed":13,"syntology":{"n":17,"n_ran":16,"n_unverified":1,"n_pointer_only":11}},{"url":"/paper/cauchy-schwarz-divergence-information","title":"Cauchy-Schwarz Divergence Information Bottleneck for Regression","date":"2024-04-27","arxiv_id":"2404.17951","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_unverified":1,"n_pointer_only":4}},{"url":"/paper/end-to-end-training-induces-information","title":"End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training","date":"2024-02-14","arxiv_id":"2402.09050","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/hrel-filter-pruning-based-on-high-relevance","title":"HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels","date":"2022-02-22","arxiv_id":"2202.10716","repositories_listed":1,"syntology":null},{"url":"/paper/compression-phase-is-not-necessary-for","title":"Information flows of diverse autoencoders","date":"2021-02-15","arxiv_id":"2102.07402","repositories_listed":1,"syntology":null},{"url":"/paper/a-provably-convergent-information-bottleneck","title":"A Provably Convergent Information Bottleneck Solution via ADMM","date":"2021-02-09","arxiv_id":"2102.04729","repositories_listed":1,"syntology":null},{"url":"/paper/malicious-network-traffic-detection-via-deep","title":"Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View","date":"2020-09-16","arxiv_id":"2009.07753","repositories_listed":1,"syntology":null},{"url":"/paper/the-dual-information-bottleneck-1","title":"The Dual Information Bottleneck","date":"2020-06-08","arxiv_id":"2006.04641","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-information-plane-of-autoencoders","title":"On the Information Plane of Autoencoders","date":"2020-05-15","arxiv_id":"2005.07783","repositories_listed":1,"syntology":null},{"url":"/paper/scalable-mutual-information-estimation-using","title":"Scalable Mutual Information Estimation using Dependence Graphs","date":"2018-01-27","arxiv_id":"1801.09125","repositories_listed":1,"syntology":null},{"url":"/paper/on-the-information-bottleneck-theory-of-deep","title":"On the Information Bottleneck Theory of Deep Learning","date":"2018-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}