model compression

Distilling Knowledge from an Ensemble of Models for Punctuation Prediction Interspeech 2017 ECO: Efficient Convolution Operators for Tracking CVPR 2017 Efficient Knowledge Distillation from an Ensemble of Teachers Interspeech 2017 Fixed-Point Factorized Networks CVPR 2017 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 LCNN: Lookup-Based Convolutional Neural Network CVPR 2017 Learning Efficient Object Detection Models with Knowledge Distillation NeurIPS 2017 Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon NeurIPS 2017 Local Binary Convolutional Neural Networks CVPR 2017 Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ICML 2017 Mimicking Very Efficient Network for Object Detection CVPR 2017 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017 Natural Language Processing with Small Feed-Forward Networks EMNLP 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NeurIPS 2017 Network Sketching: Exploiting Binary Structure in Deep CNNs CVPR 2017 Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks Interspeech 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices ICML 2017 Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things ICML 2017 Runtime Neural Pruning NeurIPS 2017 Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU EMNLP 2017 Sobolev Training for Neural Networks NeurIPS 2017