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cs.LG2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
Linbo Qiao, Tao Sun, Hengyue Pan +1
In recent years, the Deep Learning Alternating Minimization (DLAM), which is actually the alternating minimization applied to the penalty form of the deep neutral networks training…
cs.LG2018
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks
Hengyue Pan, Hui Jiang, Xin Niu +1
The past few years have witnessed the fast development of different regularization methods for deep learning models such as fully-connected deep neural networks (DNNs) and Convolut…