Search Results for author: Xiaodong Jia

Found 2 papers, 0 papers with code

iRDA Method for Sparse Convolutional Neural Networks

no code implementations ICLR 2019 Xiaodong Jia, Liang Zhao, Lian Zhang, Juncai He, Jinchao Xu

We propose a new approach, known as the iterative regularized dual averaging (iRDA), to improve the efficiency of convolutional neural networks (CNN) by significantly reducing the redundancy of the model without reducing its accuracy.

Make $\ell_1$ Regularization Effective in Training Sparse CNN

no code implementations11 Jul 2018 Juncai He, Xiaodong Jia, Jinchao Xu, Lian Zhang, Liang Zhao

Compressed Sensing using $\ell_1$ regularization is among the most powerful and popular sparsification technique in many applications, but why has it not been used to obtain sparse deep learning model such as convolutional neural network (CNN)?

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