Results 41 to 50 of about 15,576,316 (273)

Variational Information Bottleneck-Guided Complementary Concept Bottleneck Model [PDF]

Jisuanji kexue yu tansuo
Concept bottleneck models (CBMs) project visual features extracted from black-box models onto a set of human-interpretable concepts to facilitate decision-making.
JI Zhong, LIN Zijie
doaj   +1 more source

Learning and generalization with the information bottleneck [PDF]

Theoretical Computer Science, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ohad Shamir, Sivan Sabato, Naftali Tishby   +2 more
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Generalized Information Bottleneck [PDF]

, 2022
150 pagesData compression is a widely used technique to reduce the transmission rate of a source signal due to the capacity bottleneck of an information channel.
Cheng, Jiangnan
core   +1 more source

The Information Bottleneck and Geometric Clustering [PDF]

Neural Computation, 2019
The information bottleneck (IB) approach to clustering takes a joint distribution [Formula: see text] and maps the data [Formula: see text] to cluster labels [Formula: see text], which retain maximal information about [Formula: see text] (Tishby, Pereira, & Bialek, 1999 ).
DJ Strouse, David J. Schwab
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The Dual Information Bottleneck

CoRR, 2020
The Information Bottleneck (IB) framework is a general characterization of optimal representations obtained using a principled approach for balancing accuracy and complexity. Here we present a new framework, the Dual Information Bottleneck (dualIB), which resolves some of the known drawbacks of the IB.
Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby   +2 more
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Variational Information Bottleneck for Semi-Supervised Classification

Entropy, 2020
In this paper, we consider an information bottleneck (IB) framework for semi-supervised classification with several families of priors on latent space representation. We apply a variational decomposition of mutual information terms of IB.
Slava Voloshynovskiy, Olga Taran, Mouad Kondah, Taras Holotyak, Danilo Rezende   +4 more
doaj   +1 more source

Leveraging Information Bottleneck for Scientific Document Summarization [PDF]

, 2021
This paper presents an unsupervised extractive approach to summarize scientific long documents based on the Information Bottleneck principle. Inspired by previous work which uses the Information Bottleneck principle for sentence compression, we extend it
Lan Du, Ju, Jiaxin, Koh, HY, Liu, Ming, Ju, J, Liu, M, Jiaxin Ju, Pan, S, Shirui Pan, Du, L, Ming Liu, Jin, Y, Huan Yee Koh, Pan, Shirui, Koh, Huan Yee, Yuan Jin, Du, Lan, Jin, Yuan   +17 more
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On Information Bottleneck for Gaussian Processes

2022 IEEE Information Theory Workshop (ITW), 2022
2022 IEEE Information Theory Workshop (ITW)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai   +2 more
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Information Bottleneck Classification in Extremely Distributed Systems

Entropy, 2020
We present a new decentralized classification system based on a distributed architecture. This system consists of distributed nodes, each possessing their own datasets and computing modules, along with a centralized server, which provides probes to ...
Denis Ullmann, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Brandon Panos, Slava Voloshynovskiy   +5 more
doaj   +1 more source

Multivariate Information Bottleneck

CoRR, 2013
Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby   +3 more
openaire   +3 more sources