Pruning

• Architecture-Aware Network Pruning for Vision Quality Applications
• Structured Pruning of Neural Networks with Budget-Aware Regularization
• ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
• Revisiting Random Channel Pruning for Neural Network Compression
• DHP: Differentiable Meta Pruning via HyperNetworks
• Universally Slimmable Networks and Improved Training Techniques
• SLIMMABLE NEURAL NETWORKS
• Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch
• AutoSlim: Towards One-Shot Architecture Search for Channel Numbers