ICPR2022 – Neural Network Pruning Through Constrained Reinforcement Learning
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ICPR2022 – Neural Network Pruning Through Constrained Reinforcement Learning

Shehryar Malik, Muhammad Umair Haider*, Omer Iqbal, Murtaza Taj Abstract: Network pruning reduces the size of neural networks by removing (pruning) neurons such that the performance drop is minimal. Traditional pruning approaches focus on designing metrics to quantify the usefulness of a neuron which is often quite tedious and sub-optimal. More recent approaches have instead…