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20192025
most citedSparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

341 citations · 608 across the 18 of their papers we have counts for

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cs.CV2023

Learning to Compose SuperWeights for Neural Parameter Allocation Search

Piotr Teterwak, Soren Nelson, Nikoli Dryden +3

Neural parameter allocation search (NPAS) automates parameter sharing by obtaining weights for a network given an arbitrary, fixed parameter budget. Prior work has two major drawba…