Information Bottleneck: Theory and Applications in Deep Learning

被引:9
作者
Geiger, Bernhard C. [1 ]
Kubin, Gernot [2 ]
机构
[1] Know Ctr GmbH, Inffeldgasse 13-6, A-8010 Graz, Austria
[2] Graz Univ Technol, Signal Proc & Speech Commun Lab, Inffeldgasse 16c, A-8010 Graz, Austria
基金
欧盟地平线“2020”;
关键词
information bottleneck; deep learning; neural networks;
D O I
10.3390/e22121408
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
引用
收藏
页数:4
相关论文
共 22 条
[21]   Variational Information Bottleneck for Semi-Supervised Classification [J].
Voloshynovskiy, Slava ;
Taran, Olga ;
Kondah, Mouad ;
Holotyak, Taras ;
Rezende, Danilo .
ENTROPY, 2020, 22 (09)
[22]   Learnability for the Information Bottleneck [J].
Wu, Tailin ;
Fischer, Ian ;
Chuang, Isaac L. ;
Tegmark, Max .
ENTROPY, 2019, 21 (10)