This repository compiles academic papers, surveys, and resources on neural network pruning, a model compression technique used to reduce neural network size and computational cost. It categorizes pruning methods by type (filter pruning, weight pruning, etc.) and organizes resources by publication year from 2015 onwards. The list includes a structured pruning survey published in IEEE TPAMI.