Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data

Jiandong Mu, Mengdi Wang, Feiwen Zhu +3

Recently, neural network compression schemes like channel pruning have been widely used to reduce the model size and computational complexity of deep neural network (DNN) for appli…