Information Bottleneck Theory on Convolutional Neural Networks

Author:

Li Junjie,Liu Ding

Funder

Science and Technology Development Fund of Tianjin Education Commission for Higher Education

Tianjin Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference33 articles.

1. Advani MS, Saxe AM (2017) High-dimensional dynamics of generalization error in neural networks. Preprint arXiv:1710.03667

2. Amjad RA, Geiger BC (2019) Learning representations for neural network-based classification using the information bottleneck principle. IEEE Trans Pattern Anal Mach Intell 42:2225–2239

3. Chechik G, Globerson A, Tishby N, Weiss Y (2005) Information bottleneck for Gaussian variables. J Mach Learn Res 6(Jan):165–188

4. Dai B, Zhu C, Wipf D (2018) Compressing neural networks using the variational information bottleneck. Preprint arXiv:1802.10399

5. Elidan G, Friedman N (2005) Learning hidden variable networks: the information bottleneck approach. J Mach Learn Res 6(Jan):81–127

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