Model Compression

Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Fast ConvNets Using Group-Wise Brain Damage CVPR 2016 Fixed Point Quantization of Deep Convolutional Networks ICML 2016 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016 Learning the Number of Neurons in Deep Networks NeurIPS 2016 On the Efficient Representation and Execution of Deep Acoustic Models Interspeech 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Refining Architectures of Deep Convolutional Neural Networks CVPR 2016 Sparsifying Neural Network Connections for Face Recognition CVPR 2016 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015 Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015 Sparse Convolutional Neural Networks CVPR 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Structured Transforms for Small-Footprint Deep Learning NeurIPS 2015 Tensorizing Neural Networks NeurIPS 2015 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NeurIPS 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Learning Separable Filters CVPR 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012