magnitude pruning
PulseAugur coverage of magnitude pruning — every cluster mentioning magnitude pruning across labs, papers, and developer communities, ranked by signal.
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New pruning method uses Fisher information distances for neural networks
Researchers have introduced a novel parameter pruning technique for neural networks, grounded in differential-geometric distances within model space. This method quantures the minimal distance to a hypersurface where a …
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Neural network degeneracy measured to guide model compression
Researchers have developed a method to quantify functional degeneracy in neural networks, which measures how much a model can be compressed without impacting its performance. This is achieved by calculating the "behavio…
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New proposition links randomness and compression in deep learning models
A new proposition connects randomness and compression in machine learning models using Gibbs entropy. Researchers demonstrated that lossy compression can be viewed as a form of directed randomness that preserves informa…