model compression

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Synaptic Strength For Convolutional Neural Network NeurIPS 2018 TETRIS: TilE-matching the TRemendous Irregular Sparsity NeurIPS 2018 The High-Dimensional Geometry of Binary Neural Networks ICLR 2018 Towards Binary-Valued Gates for Robust LSTM Training ICML 2018 Training and Inference with Integers in Deep Neural Networks ICLR 2018 Training wide residual networks for deployment using a single bit for each weight ICLR 2018 Verifiable Reinforcement Learning via Policy Extraction NeurIPS 2018 Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio ICLR 2018 Weightless: Lossy weight encoding for deep neural network compression ICML 2018 Where to Prune: Using LSTM to Guide End-to-end Pruning IJCAI 2018 Wide Compression: Tensor Ring Nets CVPR 2018 WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018 xUnit: Learning a Spatial Activation Function for Efficient Image Restoration CVPR 2018 A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR 2017 A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017 Analytical Guarantees on Numerical Precision of Deep Neural Networks ICML 2017 Bayesian Compression for Deep Learning NeurIPS 2017 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 Compressed Time Delay Neural Network for Small-Footprint Keyword Spotting Interspeech 2017 Compression-aware Training of Deep Networks NeurIPS 2017 Deep Learning at Alibaba IJCAI 2017 Deep Learning With Low Precision by Half-Wave Gaussian Quantization CVPR 2017 Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups CVPR 2017 Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning CVPR 2017