ONG prunes neural network weights at initialization using NMF reconstruction error as an importance score, then strictly preserves the mask throughout training.
Exploiting linear structure within convolutional networks for efficient evaluation,
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ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
ONG prunes neural network weights at initialization using NMF reconstruction error as an importance score, then strictly preserves the mask throughout training.