Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction
Author:
Affiliation:
1. Chair of Cognitive Computational Neuroscience, Technische Universität Dresden, Dresden, Germany
2. VERSES AI Research Lab, Los Angeles, CA, USA
Funder
German Research Foundation
Germany’s Excellence Strategy—EXC 2050/1—Project
Cluster of Excellence, Centre for Tactile Internet with Human-in-the-Loop (CeTI) of Technische Universität Dresden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10565861.pdf?arnumber=10565861
Reference57 articles.
1. A Survey on Bayesian Deep Learning
2. The case for Bayesian deep learning;Wilson;arXiv:2001.10995,2020
3. Towards Bayesian Deep Learning: A Framework and Some Existing Methods
4. Probabilistic machine learning and artificial intelligence
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