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A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning

Mohammad Ali Alomrani
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Papers citing "A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning"

5 / 5 papers shown
Title
The Information Bottleneck Problem and Its Applications in Machine Learning
The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld
Yury Polyanskiy
68
137
0
30 Apr 2020
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Rana Ali Amjad
Bernhard C. Geiger
107
197
0
27 Feb 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
85
333
0
20 Feb 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
433
2,946
0
15 Sep 2016
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
220
1,595
0
09 Mar 2015

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