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Everything about Information bottleneck method
Technique in information theory
The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self-described as providing "a surprisingly rich framework for discussing a variety of problems in signal processing and learning". Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Information bottleneck methodA 5-minute orientation
- Skim a recent paper: Theory and Application of the Information Bottleneck MethodInfluential work since 2022
- Pick up a classic book: Intelligence BulletinThe most-reprinted book on the subject
- Read the landmark paper: Information-Optimum LDPC Decoders Based on the Information Bottleneck MethodCited 76 times
- Go sideways: Crank–Nicolson methodA closely related topic
- Go sideways: Bayesian linear regressionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Information-Optimum LDPC Decoders Based on the Information Bottleneck Method
Image Segmentation Using Information Bottleneck Method
Objective classification of galaxy spectra using the information bottleneck method
A parallel clustering method combined information bottleneck theory and centroid-based clustering
Cross-Modal Clustering With Deep Correlated Information Bottleneck Method
Unsupervised video categorization based on multivariate information bottleneck method
Shared-Private Information Bottleneck Method for Cross-Modal Clustering
Incremental Multiview Clustering With Continual Information Bottleneck Method
🆕 Influential since 2022
Theory and Application of the Information Bottleneck Method
Training quantum neural networks using the quantum information bottleneck method
Reducing the Complexity of the Layer Scheduled LDPC Decoder Based on the Information Bottleneck Method
Robust Classification of Encrypted Network Services Using Convolutional Neural Networks Optimized by Information Bottleneck Method
A Variational Information Bottleneck Method for Network Intrusion Detection
📚 Books worth reading
Intelligence BulletinUnited States. War Department. Military Intelligence Service · 1942
Information theory tools for computer graphicsMateu Sbert · 2009
AI EngineeringChip Huyen · 2024- 📕The limits of attentionKimron Shapiro · 2001
Intelligent complex adaptive systemsAng Yang, Yin Shan · 2008
Introduction to humans in engineered systemsRoger W. Remington · 2013- 📕Parallel computing is everywhereItaly) ParCo (Conference) (2017 Bologna · 2018
Computational Linguistics and Intelligent Text ProcessingAlexander Gelbukh · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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