ONG prunes neural network weights at initialization using NMF reconstruction error as an importance score, then strictly preserves the mask throughout training.
Imagenet classification with deep convolutional neural networks,
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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.