model compression

Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019 Data-Free Learning of Student Networks ICCV 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NeurIPS 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Distillation-Based Training for Multi-Exit Architectures ICCV 2019 Distilled Person Re-Identification: Towards a More Scalable System CVPR 2019 Distilling Object Detectors With Fine-Grained Feature Imitation CVPR 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 Dynamic Channel Pruning: Feature Boosting and Suppression ICLR 2019 Dynamic Recursive Neural Network CVPR 2019 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NeurIPS 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task EMNLP 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019 Efficient Neural Network Compression CVPR 2019 Efficient On-Device Models using Neural Projections ICML 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019 Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking ICLR 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019