Related references
Note: Only part of the references are listed.On Information Plane Analyses of Neural Network Classifiers--A Review
Bernhard C. Geiger
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Understanding Deep Learning (Still) Requires Rethinking Generalization
Chiyuan Zhang et al.
COMMUNICATIONS OF THE ACM (2021)
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation
Shiyu Duan et al.
NEURAL COMPUTATION (2020)
Convergence Behavior of DNNs with Mutual-Information-Based Regularization
Hlynur Jonsson et al.
ENTROPY (2020)
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Rana Ali Amjad et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Information Bottleneck: Theory and Applications in Deep Learning
Bernhard C. Geiger et al.
ENTROPY (2020)
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification
Hao Cheng et al.
ENTROPY (2019)
Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks
Thanh Tang Nguyen et al.
ENTROPY (2019)
Deep Cascade Learning
Enrique S. Marquez et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Estimating Mixture Entropy with Pairwise Distances
Artemy Kolchinsky et al.
ENTROPY (2017)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Bayesian bin distribution inference and mutual information
D Endres et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2005)