3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks
Mohammad Mahdi Bejani, Mehdi Ghatee
Overfitting is one of the critical problems in deep neural networks. Many regularization schemes try to prevent overfitting blindly. However, they decrease the convergence speed of…
cs.LG2020★ 3 cited
Adaptive Low-Rank Factorization to regularize shallow and deep neural networks
Mohammad Mahdi Bejani, Mehdi Ghatee
The overfitting is one of the cursing subjects in the deep learning field. To solve this challenge, many approaches were proposed to regularize the learning models. They add some h…
cs.LG2019
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
Mohammad Mahdi Bejani, Mehdi Ghatee
Intelligent Transportation Systems (ITS) are much correlated with data science mechanisms. Among the different correlation branches, this paper focuses on the neural network learni…