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Entropy Induced Pruning Framework for Convolutional Neural Networks
By leveraging the proposed AFIE, the proposed framework is able to yield a stable importance evaluation of each filter no matter whether the original model is trained fully.
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Therefore, we propose a sensitiveness based method to evaluate the importance of each layer from the perspective of inference accuracy by adding extra damage for the original model.
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric
As an algorithm based on deep reinforcement learning, Proximal Policy Optimization (PPO) performs well in many complex tasks and has become one of the most popular RL algorithms in recent years.
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