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2. Good subnetworks provably exist: Pruning via greedy forward selection;ye;Proceedings of International Conference on Machine Learning,0
3. Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers;ye;Proceedings of International Conference on Learning Representations,0
4. Ne-tadapt: Platform-aware neural network adaptation for mobile applications;yang;Proceedings of European Conference on Computer Vision,0
5. NISP: Pruning Networks Using Neuron Importance Score Propagation