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Found 2 papers, 1 papers with code
Better Training using Weight-Constrained Stochastic Dynamics
We employ constraints to control the parameter space of deep neural networks throughout training.
Constraint-Based Regularization of Neural Networks
We propose a method for efficiently incorporating constraints into a stochastic gradient Langevin framework for the training of deep neural networks.
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