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20202026
most citedData-driven emergence of convolutional structure in neural networks

30 citations · 46 across the 9 of their papers we have counts for

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1 paper · 1 filter

cs.LG2024

On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks

William T. Redman, Zhangyang Wang, Alessandro Ingrosso +1

Since its use in the Lottery Ticket Hypothesis, iterative magnitude pruning (IMP) has become a popular method for extracting sparse subnetworks that can be trained to high performa…