network compression

On the Predictability of Pruning Across Scales ICML 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Rethinking the Pruning Criteria for Convolutional Neural Network NeurIPS 2021 Structured sparsification with joint optimization of group convolution and channel shuffle UAI 2021 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 Attribution Preservation in Network Compression for Reliable Network Interpretation NeurIPS 2020 Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020 BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget ICLR 2020 Comparing Rewinding and Fine-tuning in Neural Network Pruning ICLR 2020 Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Filter Distillation for Network Compression WACV 2020 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020 Knowledge Consistency between Neural Networks and Beyond ICLR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020 Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020 Neural Epitome Search for Architecture-Agnostic Network Compression ICLR 2020 Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NeurIPS 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020