Oct. 7, 2022, 1:14 a.m. | Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite

stat.ML updates on arXiv.org arxiv.org

Modern deep learning involves training costly, highly overparameterized
networks, thus motivating the search for sparser networks that can still be
trained to the same accuracy as the full network (i.e. matching). Iterative
magnitude pruning (IMP) is a state of the art algorithm that can find such
highly sparse matching subnetworks, known as winning tickets. IMP operates by
iterative cycles of training, masking smallest magnitude weights, rewinding
back to an early training point, and repeating. Despite its simplicity, the
underlying principles …

arxiv hypothesis lottery ticket hypothesis

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