A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations
Modern deep neural networks, particularly recent large language models, come with
massive model sizes that require significant computational and storage resources. To …
massive model sizes that require significant computational and storage resources. To …
Perp: Rethinking the prune-retrain paradigm in the era of llms
Neural Networks can be efficiently compressed through pruning, significantly reducing
storage and computational demands while maintaining predictive performance. Simple yet …
storage and computational demands while maintaining predictive performance. Simple yet …