Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds

Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski +2

We present an efficient coresets-based neural network compression algorithm that sparsifies the parameters of a trained fully-connected neural network in a manner that provably app…