A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability.
Xinjie LanKenneth E. BarnerPublished in: CoRR (2020)
Keyphrases
- information theoretic
- deep learning
- information theory
- mutual information
- theoretic framework
- information bottleneck
- unsupervised feature learning
- jensen shannon divergence
- unsupervised learning
- mental models
- information theoretic measures
- image representation
- machine learning
- weakly supervised
- probabilistic model
- pairwise
- learning algorithm
- data mining