Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks
Published in 5th International Conference on Learning, Optimization and Data Science, 2019
This paper introduces two widely-applicable regularization methods based on the direct modification of weight matrices.
Recommended citation: Reizinger P., Gyires-Tóth B. (2019) "Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks.." Springer LNCS 1. 11943. https://arxiv.org/pdf/1909.11977