ENTITY
Iterative Magnitude Pruning
Iterative Magnitude Pruning
PulseAugur coverage of Iterative Magnitude Pruning — every cluster mentioning Iterative Magnitude Pruning across labs, papers, and developer communities, ranked by signal.
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New method integrates pruning into active learning to find sparse models
Researchers have developed a new method called Improve & Prune (I&P) that integrates magnitude pruning into active learning retraining cycles. This approach aims to discover sparse subnetworks, or "winning tickets," wit…
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New Bayesian Framework Enhances Neural Network Compression and Interpretability
Researchers have introduced Neural Atom Prevalence (NAP), a novel Bayesian framework designed to improve neural network compression and interpretability. NAP employs a four-phase pipeline, including Bayesian Lottery Tic…