no code implementations • 17 Nov 2023 • Rémi Ouazan Reboul, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
To solve this problem, a popular solution is DNN pruning, and more so structured pruning, where coherent computational blocks (e. g. channels for convolutional networks) are removed: as an exhaustive search of the space of pruned sub-models is intractable in practice, channels are typically removed iteratively based on an importance estimation heuristic.
