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Found 3 papers, 1 papers with code
Neural Network Pruning Through Constrained Reinforcement Learning
In this work, we propose a general methodology for pruning neural networks.
Comprehensive Online Network Pruning via Learnable Scaling Factors
One of the major challenges in deploying deep neural network architectures is their size which has an adverse effect on their inference time and memory requirements.
Teacher-Class Network: A Neural Network Compression Mechanism
To reduce the overwhelming size of Deep Neural Networks (DNN) teacher-student methodology tries to transfer knowledge from a complex teacher network to a simple student network.
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