network pruning

Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search CVPR 2019 RePr: Improved Training of Convolutional Filters CVPR 2019 Rethinking the Value of Network Pruning ICLR 2019 Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization ICML 2019 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CVPR 2018 Compressing Neural Networks using the Variational Information Bottleneck ICML 2018 Efficient Sparse-Winograd Convolutional Neural Networks ICLR 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 Learning Compact Neural Networks with Regularization ICML 2018 Learning sparse neural networks via sensitivity-driven regularization NeurIPS 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning CVPR 2018 Sparse DNNs with Improved Adversarial Robustness NeurIPS 2018 Synaptic Strength For Convolutional Neural Network NeurIPS 2018 Variational Network Quantization ICLR 2018 Bayesian Compression for Deep Learning NeurIPS 2017 Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning CVPR 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NeurIPS 2017 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Fast ConvNets Using Group-Wise Brain Damage CVPR 2016 Learning the Number of Neurons in Deep Networks NeurIPS 2016 Predicting Parameters in Deep Learning NeurIPS 2013